Saturday, August 30, 2025

Multifocus Microscope Pushes Limits of 3D Biological Imaging





A high-speed 3D imaging microscope developed by researchers at the University of California, Santa Cruz can capture detailed cell dynamics of an entire small whole organism at once. The ability to image 3D changes in real time over a large field of view could lead to new insights in developmental biology and neuroscience.

“Traditional microscopes are constrained by how quickly they can refocus or scan through different depths, which makes it difficult to capture fast, 3D biological processes without distortion or missing information,” said Eduardo Hirata Miyasaki, who performed the work while in Sara Abrahamsson’s lab at the University of California Santa Cruz (UCSC). “Our new system extends the multifocus microscopy (MFM) technique Abrahamsson developed by using a 25-camera array to push the limits of speed and volumetric imaging. This leap in efficiency opens the door to studying small living systems in motion without disrupting them.”

The researchers describe their new microscope, which combines diffractive optics with 25 tiny cameras to synchronously and simultaneously image at multiple depths. They demonstrate live imaging of 25-plane 3D volumes measuring up to 180 × 180 × 50 μm at acquisition speeds of more than 100 volumes per second.

“The new microscope, which we call the M25, is particularly useful for imaging swimming C. elegans worms, a model organism used to study development, neuroscience and locomotion,” said Hirata Miyasaki, now at the Chan Zuckerberg Biohub. “Traditionally, scientists could only see part of the organism clearly at any one time. With our new microscope, it is possible to watch the entire worm move naturally in 3D, allowing researchers to study how its nervous system controls movement and how behavior might change in response to a genetic mutation, disease or drug treatment.”

A key part of the new microscope is the diffractive optical elements used to distribute the various focal planes across an array of 25 cameras. Diffractive optics use microstructures to manipulate light, allowing more complex light control via a thinner, lighter component than traditional optical components such as prisms.

Building upon the original MFM technique, the researchers designed a multi-focus grating to split the incoming light so that each camera captures the same scene but with a focus at a different depth. They also made customized gratings to use in front of each camera lens to correct the chromatic dispersion introduced by the multi-focus grating. By replacing the traditional chromatic-correcting prism, which was difficult to scale beyond 3×3 arrays, these blazed gratings enabled high-resolution, high-speed bioimaging across more planes.

The gratings are made from nanometer-scale patterns that require specialized fabrication tools. After using simulations to determine the optimal designs, the researchers used the University of California Santa Barbara nanofabrication facility to etch the patterns into glass. With the fabrication process now established, these diffractive elements can be accurately reproduced at higher volumes.

“One of the key innovations of the M25 is its use of simplified chromatic correction architecture: By replacing bulky prism-based components with custom-designed blazed gratings, the system achieves efficient dispersion correction across all focal planes while remaining compact and scalable,” said Abrahamsson. “This streamlined optical design not only enables high-speed imaging but also supports compatibility with label-free modalities — a major advantage for applications like embryology, where minimally invasive imaging is essential.”

“When combined, the 25 images — all acquired simultaneously, with no mechanical scanning or moving parts — form a complete 3D snapshot,” said Hirata Miyasaki. “Because this happens at high speed, limited only by the camera’s acquisition speed and the sample’s brightness, we can record entire volumes over time, enabling studies of real biological dynamics.”

The M25 microscope can be used for both fluorescence and label-free modalities, such as brightfield and polarization microscopy, which are especially useful for imaging sensitive biological systems without introducing dyes or labels. This compatibility with minimally invasive techniques makes the M25 well-suited for applications like embryology, where preserving native physiology is critical.

To validate the instrument, the researchers built a prototype and confirmed that it could capture 25 distinct, evenly spaced focal planes simultaneously, without distortion or overlap, by imaging calibration targets. They also used the microscope to image live biological specimens, including common model organisms such as C. elegans, D. melanogaster and P. marinus, demonstrating real-time 3D imaging of moving organisms without the need for scanning or motion compensation.

The system mounts to the side port of a standard commercial microscope. Aside from the diffractive optics, it requires no specialized hardware, making it more straightforward to replicate than systems that rely on custom prisms or complex light path modifications.

Next, the researchers aim to further expand the system’s scale and applications. For example, they plan to use the system’s rich imaging data to train machine learning models that can identify cell states, track dynamic behaviors and detect disease-related changes directly from images.

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Thursday, August 28, 2025

Microscope Design Uses Resonator to "Store" Light, Avoid Sample Degradation





In photography, taking a detailed image requires a lot of light. But in microscopy, too much light is often harmful to the sample, such as when imaging sensitive biological structures or investigating quantum particles. The aim is therefore to gather as much information as possible about the object under observation with a given amount of light.

In collaboration with the University of Vienna and the University of Siegen, researchers at TU Wien have developed a novel trick to achieve this: storing the light in a resonator in which the sample is also located. This allows them to obtain a clearer signal than with other methods.

“In a normal microscope, the light hits the sample once and then enters a lens,” said Maximilian Prüfer, who led the study as part of his fellowship at the Atomic Research Institute of TU Wien. “In our microscope, we place the sample in an optical resonator — between two mirrors.”

To turn this resonator into a microscope, the team developed an unusual experimental setup with additional lenses: After the light beam has passed through the sample, it is guided in a circle and hits the sample again. “Now the sample is illuminated again, but not with a normal, uniform beam of light as in the beginning, but with a beam of light that already contains the image of the sample, so to speak,” said Oliver Lueghamer of TU Wien, who built the microscope as part of his master's thesis.

Similar to a stamp that is pressed several times on the same spot, producing a clearly visible image even with faint ink, the image of the sample becomes clearer and clearer as it completes several rounds in the microscope.

Both theoretical calculations, which were developed in collaboration with Thomas Juffmann of the University of Vienna and Stefan Nimmrichter of the University of Siegen, and experiments show that this method provides more information than other microscopy techniques at a given light intensity. “The key figure is the signal-to-noise ratio,” said Maximilian Prüfer. “This ratio is better here than with other methods due to multiple scattering with the same disturbance of the sample.”

However, the practical suitability of the developed instrument and method also depends on how susceptible it is to disturbances. “When using optical resonators, as we do, it is often important to keep their length extremely constant,” Prüfer said.

“Normally, you have to go make a great effort to ensure that the distance between the two mirrors varies only minimally, otherwise the desired effect is lost. With our method, however, this is not the case.”

The distance between the mirrors can also show a certain instability without the enhancement disappearing. “This is important because it means that the method not only works in theory, but can also be used in practice with manageable effort,” Prüfer said.

One of the goals of the new microscopy technique is to image ultra-cold Bose-Einstein condensates and thereby study their quantum physical behavior.

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Tuesday, August 26, 2025

OLED Contact Lenses Expand Options for Diagnostics and Treatment





A wireless contact lens that integrates OLED technology into ophthalmic diagnostics could transform the way in which ocular health is monitored, benefiting both patients and practitioners.

The lens is the result of a collaboration among the Korea Advanced Institute of Science and Technology (KAIST), the Electronics and Telecommunications Research Institute (ETRI), and the Seoul National University Bundang Hospital. To create the wearable light source, the team led by professor Seunghyup Yoo designed a configuration and process flow that integrated an ultrathin OLED, an antenna, and a controller chip for wireless power reception with a contact lens.

Using a 433 megahertz (MHz) resonant frequency for power transmission, the researchers implemented a robust wireless power system for the lens. They embedded a wireless microcontroller into a sleep mask to optimize the lens and allow it to be synchronized with a smartphone.

The team demonstrated the efficacy of the OLED contact lens as a robust lighting solution for electroretinography (ERG) examinations in clinical settings.

It showed that the wearable light source could generate an ERG signal comparable to that of conventional, full-field light stimulation, and that the OLED lens system could be used for ERG measurement with minimal signal interference.

In an in vivo animal experiment, the researchers observed that the animal’s eye temperature remained well within safe limits while it was wearing the lens, mitigating the risk of corneal heat damage from the OLED. The researchers also found that the lens continued to maintain a robust optical performance during exposure to humid environments — an indicator of its potential for practical use in real-world settings.

In earlier lens designs, the light diffusion provided by inorganic LEDs was often inadequate, leading to excessive heat buildup. OLEDs offer a superior solution to LEDs due to their ability to emit light more uniformly across the surface area of the lens. This feature helps reduce heat generation and ensures retinal responses can be achieved even under low-light conditions.

During the study, the researchers observed retinal response results at a luminance level considerably lower than that of standard devices, further demonstrating the viability of the OLED technology as a diagnostic tool.

The 12.5-μm-thick OLED contact lens is designed to optimize both comfort and function. It is engineered to be an effective, yet unobtrusive, device that will allow patients to engage actively during retinal diagnoses. Unlike conventional ERG, which requires a darkened space and restricts patient mobility for prolonged periods, the OLED contact lens allows patients to rest comfortably, even with their eyes closed, while they undergo retinal evaluations.

In addition to ensuring efficiency and patient comfort during retinal exams, the ultrathin OLED contact lens could be a valuable tool for personalized healthcare monitoring. By combining wearable technology and healthcare, the OLED contact lens could help shape the future of ocular care.

Further integration of smart contact lens technology into ocular diagnostics and therapies could expand the scope of digital healthcare applications. As digital healthcare technology evolves, the adaptability and functionality of the OLED contact lens could give it an important role in many future ocular innovations.

An interdisciplinary approach to OLED lens development could lead to solutions for myopia and other ocular issues. The fields of augmented reality and light-based neurostimulation could also benefit from the new OLED lens technology.

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Monday, August 25, 2025

Single-Cell Analysis Optofluidics Tool Delivers on Demand





An on-demand optical system for exporting target droplets from a static droplet array (SDA) provides a simple way to export specific cells or analytes for analysis without compromising efficiency or accuracy. Researchers at the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences developed the system, called optical on-demand droplet release (OODR). The developers and their collaborators believe that OODR could promote SDAs as a valuable tool for use with high-capacity screening assays with applications in diverse fields. They said that the technique in its current stage of development has the potential to be used in single-molecule/cell analysis, drug screening, and phenotype-based cell sorting.

The OODR system incorporates a 1064-nm laser-responsive indium tin oxide (ITO) layer into a microchamber, array-based, droplet microfluidic chip. When the laser is focused onto the ITO layer of the chip, local heating causes microbubbles to form. The microbubbles push the droplets out of the chamber on a selective basis.

The researchers fabricated the chip using a low-cost, readily available ITO glass as a photoresponsive layer. The ITO layer was bonded to a PDMS layer with an array of microchambers to provide the capability to selectively release target droplets and enable the SDA to work rapidly.

According to the researchers, the size of the microbubble proved to be critical to the successful release of the droplet based on the chip design used by the team. They identified the optimal size for the microbubble as 40 μm, and they tuned the laser to the range necessary to generate the amount of heat needed to form a correctly sized microbubble without degrading the integrity of the cell. Under the appropriate conditions, OODR can release a droplet within three seconds.

OODR precisely heats the ITO layer, via laser, to create microbubbles that allow for the selective pushing of a target droplet out of the chamber on the microfluidics chip. This is based on the microdroplet single-cell sorting system, such as EasySort Compact, for example. The team used the EasySort Compact system to achieve automatic single-cell sorting, said professor Bo Ma.

Once the released droplet is pushed out of the chamber, it is carried by the flow to the outlet. The droplet can be easily exported in the one-droplet-one-tube (ODOT) manner by a pipette tip, via the inherent capillary force, which allows the movement of liquid without applying external force. The droplet is exported into a well or tube in a high-throughput manner for further analysis.

The released droplet is identified by using white or fluorescent imaging. These images can be used to sort the morphology of the target bacteria, which can be a challenge without a static image for reference.

The researchers used OODR to selectively release droplets containing fluorescein sodium from an SDA consisting of 6400 microchambers. OODR achieved a success rate of about 100% (nine out of 6400 droplets were successfully released). It also exhibited low residual, with only about 5% of the droplet volume remaining in the chamber.

The team demonstrated on-demand release of single-cell and multicell droplets for both E. coli and yeast, based on white or fluorescence imaging. The successful use of OODR with E. coli and yeast cells suggests that the system is applicable to other types of cells. According to Ma, the technique not only targets single cells, but enables the sorting of microdroplets that contain one cell, multiple cells, and/or reagents only.

Beyond avoiding causing any effect to the cell’s ability to be cultivated, or accuracy, the researchers said, the successful cultivation of the cell-containing droplets in an ODOT manner indicates that the isolation method has minimal impact on cell viability. This, they said, is essential when further live-cell analyses are needed. It also demonstrates the potential to seamlessly couple OODR with downstream ODOT-based assays, such as human or microbial single-cell sequencing. OODR also reduces the sample size and amount of reagent needed for analysis, making SDA more efficient and cost-effective. And the current system is user-friendly, the researchers said.

Professor Jian Xu said that the team is currently using artificial intelligence and machine learning to automate the system via EasySort. This will reduce human involvement in the system’s operation, making it easier for nonprofessionals to use, which could further expand the use of OODR and SDA.

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Saturday, August 23, 2025

SPAD Camera Characterizes Large Samples of Molecules at Same Time




 


A new widefield fluorescence lifetime imaging technique, achieved with a time-gated, single-photon avalanche diode (SPAD) camera, enables thousands of molecules to be characterized rapidly, accurately, and at the same time.

Developed by a team at the Swiss Federal Institute of Technology in Lausanne (EPFL), single-molecule fluorescence lifetime imaging microscopy (smFLIM) could be a significant advancement for multitarget, single-molecule localization microscopy.

Traditional FLIM typically relies on time-correlated single-photon counting (TCSPC), a precise but low-throughput method, to discriminate molecules or probe their nanoscale environment.

Unlike conventional imaging methods, smFLIM detects molecules at a specific point in time immediately after they are subjected to an excitation pulse. It captures an alternating series of images — one image immediately after excitation and another a few nanoseconds later — with picosecond-scale resolution.

The images are analyzed to determine the molecule’s fluorescence lifetime — that is, the short delay between the excitation laser pulse and the fluorescence emitted by the molecule — and the individual molecules in the sample are characterized.

Using smFLIM, the researchers obtained measurements with a precision only about 3x less than TCSPC — but with a system capable of imaging with multiple pixels (512 × 512) to enable the spatial multiplexing of more than 3000 molecules. The new technique can take precise measurements of a molecule’s unique light-emission signature at the scale of a billionth of a second.

SmFLIM can provide precise information on thousands of molecules in less than one minute, compared to the one hour required for existing techniques. “Our method is slightly less accurate than conventional ones, but it is faster and can detect an unprecedented number of molecules at once,” professor Aleksandra Radenovic said.

For the design of smFLIM, the researchers revisited a gated imaging scheme introduced 35 years ago. Although time-gated cameras have shown potential for high-throughput FLIM, until now their use in single-molecule microscopy has not been explored extensively. The time-gated SPAD camera used for smFLIM has almost one million sensors, each of which detect a photon.

The team used smFLIM to demonstrate parallelized lifetime measurements of many labeled, pore-forming proteins on supported lipid bilayers, and temporal, single-molecule Förster resonance energy transfer (FRET) measurements to detect the distance between molecules.

“Measuring the fluorescence lifetime of a pair of molecules provides information on the distance between them at a scale of just a few nanometers,” researcher Nathan Ronceray said. “The current approach can only be applied to small samples, but our system can expand it to allow for the rapid study of dynamic phenomena on thousands of molecules.”

The team said that, although it chose single-molecule FRET for its demonstration, smFLIM can be used with other lifetime-changing phenomena, such as non-radiative energy transfer to bulk metal or 2D materials.

Based on the results of the study, smFLIM is a promising tool for diverse areas of science and technology. “One promising direction is its potential to improve multiplexed analyses, that is, to measure several parameters simultaneously in a single sample,” Radenovic said. “It is likely to be useful in fields such as spatial transcriptomics, which aims to measure gene expression in a tissue while preserving spatial information about the exact location of cells or structures in the tissue.”

This approach could benefit lifetime-based assays of biomolecules for structural biology, diagnostic assays, biopolymer sequencing, and single-molecule superresolution microscopy.

By enabling the simultaneous reading of many molecular species throughout life, the method could serve as a powerful complement to high-resolution omics tools used to study the different biological layers of an organism in a comprehensive and systematic way, often on a cellular or molecular scale.

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Friday, August 22, 2025

High-Throughput Imaging Reveals Multi-Particle Cellular Activity




 


A new software program can map the movements of multiple particles within cells simultaneously, providing insight into cellular functions that are difficult — and sometimes impossible — to investigate using single-cell tracking methods.

The software, developed by researchers at the University of Bonn and Wageningen University and Research, speeds the high-throughput process used to observe molecules in cells, enabling fivefold shorter measurement times than single-particle tracking, according to the researchers.

In single-particle tracking, the molecule is marked with fluorescent light, and hundreds of photos per second are taken using a high-resolution microscope. By looking at the gaps between molecules and the distances traveled by a single molecule from one photograph to another, the researcher can tell whether the particles are moving freely inside the cell or interacting with other molecules.

Biomolecules move faster than cameras can capture, leading to gaps in the film. If a single particle is being tracked, its missing movements can largely be filled in.

“However, if two or more identical looking particles ‘glitch,’ it is often impossible to determine which particle on the first frame corresponds to which on the next frame,” said Koen Martens, postdoctoral researcher at the University of Bonn.

When the paths of two particles cross or the particles are too close together, their movements cannot be identified using single-particle tracking, Martens said. Therefore, the molecules must be studied one after the other, in a time-consuming process that makes it difficult to observe the molecular activity.

The software developed by Martens and his colleagues, called TARDIS, which stands for Temporal Analysis of Relative DIStances, resolves this problem.

With TARDIS, an all-to-all distance analysis between localizations (that is, between the positions of the molecule in the individual photographs) is performed with increasing temporal shifts. These pairwise distances represent either intraparticle distances originating from the same particle, or interparticle distances originating from unrelated particles.

The software uses probability calculations to compute all possible paths of the particles and determines which particles on each frame correspond to the particles on the subsequent frames. Instead of focusing on individual points, TARDIS looks at the entire sequence of movements within the cell and examines all the molecules simultaneously.

“TARDIS makes the measurement process at least five times faster without any loss of information,” Martens said.

The researchers tested the software on well-known molecular movement patterns such as diffusion. TARDIS performed accurately in complex conditions characterized by high particle density, strong emitter blinking, or false-positive localizations. It outperformed tracking algorithms when benchmarked on simulated and experimental data of varying complexity.

“Our program calculated the correct movement,” Martens said. The computer does not require a lot of information for its calculations — just the coordinates of the particles at different time points, as measured with a microscope.

TARDIS could help expand the possibilities for microbiological research. For example, it could be helpful in studying the effects of antibiotics and other medications on the molecular processes within cells.

“Some antibiotics work by blocking specific molecular machines in the cell,” Martens said. By enabling the behavior of multiple molecular machines to be studied at the same time, TARDIS could provide insight into the effectiveness of an antibiotic and could do so rapidly.

The technique is currently being used in research studying the process of DNA repair in single-celled organisms by observing the speed at which the repair function works.

“Damage to our DNA activates molecules that repair it quickly, ideally before the cell divides and the damage spreads,” he said. “I don’t have a biological interpretation yet, but with my software, I can now, for the first time, follow the cell’s repair kit minute by minute.”


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Thursday, August 21, 2025

Light-Based Approach Reduces Damage to Healthy Tissues in Cancer Treatment





A technique developed at Northeastern University targets two of the deadliest cancer types, melanoma and triple negative breast cancer, with chemotherapy drugs but without the usual associated harms. Both cancers are typically resistant to chemotherapy, said Fleury Augustin Nsole Biteghe, a lecturer in biotechnology, chemistry and chemical biology. But by attaching a light-sensitive drug to a protein called MTf — which appears abundantly in both cancers — and bathing the drug-infused protein in near-infrared light, cancer cells die.

Using antibodies to target cancer proteins is typically performed by using multiple drugs at once, Nsole Biteghe said. But this approach stimulates the immune system so much that it can end up attacking healthy body tissues.

“By using just one drug, we enhanced the efficacy,” Nsole Biteghe said. “It enables doctors to directly correlate the drug that is going into the cells with the therapeutic outcome.”

His innovation is to use local light, or photoimmunotherapy, to induce a chemotherapy drug to kill cancer cells with minimal toxicity to healthy tissues. His research focused on using a “SNAP-tag” protein to connect an antibody to a light-sensitive drug, which creates a stable, single-drug delivery system to target cancer cells.

Triple negative breast cancer gets its name from its lack of three receptors: estrogen, progesterone and human epidermal growth factor2, making treatments that target those receptors ineffective.

“Due to the lack of well-defined molecular targets, treatment relies heavily on surgery, radiotherapy, and chemotherapy,” Nsole Biteght said, “despite growing evidence of adverse effects and disease relapses.”

Chemotherapy infusions can create a whole cascade of problems, including hair loss, nausea and fatigue. Unlike infusions, light therapy is highly targeted, Nsole Biteghe said. The near-infrared light activates the drug attached to an antibody that precisely bonds with MTf, making it possible to target cancer cells with chemotherapy drugs.

Shining light on it, he said, creates a “bomb” at the cellular level. The antibody reacts by producing cytotoxic reactive oxygen species, he said, which accumulate and cause tumor cell death.

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Wednesday, August 20, 2025

Multimodal Microscopy Imaging Method Charts Course for Monitoring Brain Metabolic Changes





A microscopy system developed by researchers at MIT addresses the challenges of using all-optical imaging techniques to visualize metabolic changes and neuronal activity deep within the brain. Using the system, which combines acoustic imaging and multiphoton excitation, the researchers achieved exceptional depth and sharp images by combining several advanced technologies into one microscope.

In the system, an ultrasound microphone located in the microscope detects the acoustic waves, and the recorded sound data is converted into high-resolution images. The solution additionally uses a near-infrared femtosecond (NIR-fs) laser for excitation, ensuring that the wavelength is long enough to penetrate deeply into tissue.

“We merged all these techniques — three-photon, label-free, photoacoustic detection,” researcher Tatsuya Osaki said. “We integrated all these cutting-edge techniques into one process to establish this ‘Multiphoton-In and Acoustic-Out’ platform.”

The label-free, multiphoton, photoacoustic microscope (LF-MP-PAM) could provide a way to monitor the metabolic changes in brain cells, both in vitro and in vivo, and measure brain activity without the need for external labels. Further, it could be used to investigate the normal and pathological mechanisms underlying neurodegenerative diseases and psychiatric disorders.

Using LF-MP-PAM with a 1300-nm fs laser, the researchers identified and imaged endogenous NAD(P)H at the single-cell level in living cultured cells, mouse brain slices, and human cerebral organoids. Nicotinamide adenine dinucleotide (NAD), a critical molecule in the cellular metabolic pathway, exists in two forms — oxidized (NAD(P)+ and reduced NAD(P)H. Real-time detection of NAD(P)H in the brain could serve as a biomarker for assessing the activity of neurons during normal functioning and disease progression.

The researchers confirmed the NADH photoacoustic signal with standard NADH imaging, validating the character of the photoacoustic energy, frequency, and acoustic transit time. They introduced NADH in cells and observed an increase in photoacoustic signals, which was confirmed through conventional, fluorescent-based NAD(P)H sensors. Although NAD(P)H emitted a weak fluorescent signal, the absorbed energy produced a localized thermal expansion of about 10 μm within the cell, generating sound waves that traveled with relative ease through the tissue compared to fluorescence emission.

Using photoacoustic detection, the researchers accessed depths of 700 μm in the mouse brain slices and 1100 μm in cerebral organoids from human stem cells. According to the team, LF-MP-PAM penetrated human organoid tissue at more than 5x the depth of other microscopy technologies. The researchers also achieved a strong photoacoustic NAD(P)H signal in the brain slices, at a depth 6x greater than the reported optical imaging depth for NAD(P)H.

“The major advance here is to enable us to image deeper at single-cell resolution,” professor Mriganka Sur said.

The researchers also developed an imaging subsystem and integrated it into the LF-MP-PAM platform to demonstrate a photoacoustic-generated spatial map of NAD(P)H in organoid and brain slice cells. They demonstrated simultaneous third-harmonic-generation imaging from three-photon stimulation, producing detailed renderings of cellular structures.

The team continues to refine the system’s signal processing capabilities, and is looking ahead to potential applications for LF-MP-PAM in neuroscience and clinical settings. It has already established that NAD(P)H imaging can inform wound care.

Levels of the NAD(P)H molecule in the brain are known to vary in patients who experience seizures and various neurological disorders like Alzheimer’s disease and Rett syndrome, making NAD(P)H a potentially valuable biomarker for these conditions. Because the new system is label-free, it could be used for deep tissue imaging during surgeries.

The next step for the researchers will be to demonstrate LF-MP-PAM in a live animal. To move beyond in vitro and ex-vivo tissue imaging, the team will first need to reposition the microphone to be on top of the sample, like the light source.


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Tuesday, August 19, 2025

Live Cell Superresolution Method Enables Full Range of Biological Mechanism Imaging






Researchers introduced a superresolution imaging technique that visualizes live, dynamic cellular structures at 60-100 nm while significantly reducing the risk of damaging the fragile cells. The microscopy advancement could inform research into DNA repair, chromosome activity, and other biological mechanisms.

The imaging approach, developed by a team at Queen Mary University of London in collaboration with industry partners, combines Fluorescence Recovery After Photobleaching (FRAP) with Lattice Structured Illumination Microscopy (diSIM/SIM2). The resulting application is named FRAP in the Superresolution regime (FRAP-SR).

“Our FRAP-SR approach enables us to visualize structures as small as 60 nanometers within living cells — a scale previously inaccessible for dynamic studies without causing significant cellular stress,” professor Viji Draviam, who led the research, said. “This resolution, 2000x smaller than the width of a human hair, allows us to probe the nanoscale organization and behavior of cellular components in real time.”

Using FRAP-SR, the researchers investigated the dynamics of a protein that is key to the repair of double-strand DNA breaks, called 53BP1. They analyzed the dynamics of the 53BP1 protein within nuclear structures at 60-nm resolution. FRAP-SR enabled them to correlate protein diffusion with subcellular structural changes in the superresolution regime without perturbing the live-cell samples.

The approach revealed sub-compartments within 53BP1 foci. These sub-compartments displayed faster 53BP1 protein mobility than other foci without sub-compartments.

The researchers characterized two distinct types of 53BP1 foci that differed in their activities. Some foci appeared as stable, compact structures, while others exhibited more fluid, dynamic shapes. The compact foci displayed uniform recovery after photobleaching, but showed greater heterogeneity in the recovery rates between different foci. The amorphous foci contained discrete sub-compartments with varying protein mobility, suggesting functional specialization within these DNA repair centers.

Using lattice light-sheet movies of aphidicolin-treated cells, the researchers confirmed faster recovery of 53BP1 in amorphous foci compared to compact foci. The study also revealed that the dynamics of the foci are influenced by cellular conditions such as recovery from DNA replication stress.

The team believes that, over the long term, the combination of FRAP and diSIM will enable scientists to overcome existing limitations to examining photosensitive subcellular structures with varied protein mobilities, activities, and roles. Long-range joining of DNA breaks are important, as defective cells can experience extensive degradation of the unrepaired coding ends, leading to genomic instability.

FRAP-SR could accelerate the development of drug targeting and drug screening methods based on live-cell dynamics. The global market for DNA repair drugs was valued at approximately $9.18 billion in 2024 and is projected to reach $13.97 billion by 2030. The use of FRAP-SR to study the DNA damage marker, 53BP1, in live cells could foster the development of DNA repair drugs and candidate drugs for personalized medicine.

“This will transform the field of optogenetics in the superresolution regime," Draviam said. "It will also enable the development of new anti-cancer drugs that target DNA damage repair pathways that are dynamic.”

The study utilized the ZEISS Elyra 7 system, enhanced with FRAP capabilities from Rapp OptoElectronics. The system provided the superresolution imaging necessary to resolve the sub-compartments of 53BP1 foci. The researchers worked with ZEISS and Rapp OptoElectronics to integrate FRAP and SIM, which allowed for precise quantification of protein dynamics.

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Monday, August 18, 2025

Light-Activated Tool Controls Protein Bonds and Tracks Cell Adhesion






Optical tools can be used to activate biological functions, but with current methods the effects are slow to appear, and sustained effects require continuous light activation. As a result, these light-activation tools provide limited control of fast biological processes and can lead to toxicity in cells and organisms.

Although light is a well-established tool for control of bond breakage, it is less firmly established for the control of specific bond formation in complex environments.

A team at Tampere University worked with researchers at the University of Cambridge and the University of Pittsburgh to develop a way to use visible light to control irreversible protein binding. The new optical technique for fast, irreversible protein conjugation could be especially valuable in processes where a short initial signal leads to long-term changes in cell or tissue function. Examples include the regulation of gene expression during stem cell differentiation and the activation of immune cells in viral infections.

The researchers built on their previous work with proteins to develop a system for the rapid, light-activated control of protein bond formation. Their “protein superglue” is a peptide/protein pair called SpyTag003/SpyCatcher003 that exhibits fast, irreversible binding. Based on an engineered protein, the SpyTag003/SpyCatcher003 peptide/protein pair allows the modular assembly of complex protein structures.

To achieve optical control of the protein superglue, the researchers looked beyond the 20 amino acids constituting human proteins. Using modified protein synthesis machinery from archaebacteria, they incorporated a light-reactive, unnatural amino acid into the SpyCatcher003 protein to make the protein photoreactive. The amino acid was strategically placed to block the peptide/protein pairing until it was activated by light.

In experiments, the researchers showed a uniform, specific reaction in cell lysate upon light activation.

“A short pulse of light was enough to trigger the rapid and efficient formation of the irreversible peptide/protein complex, both in the test tube and in living cells,” said Mark Howarth, a professor at the University of Cambridge. “Importantly, the activation only took place with specific wavelengths of light, making it possible to combine protein control with live-cell fluorescence microscopy.”

After validating their approach to optically controlling irreversible protein coupling, the researchers applied the technique to the covalent reconstitution of a talin protein that was split in half. The researchers used light to activate the talin — a central adhesion protein — inside living cells.

Optical control of talin reconstitution allowed the researchers to probe the timescale of the initial adhesion complex formation. By tracking the timing of protein recruitment into the adhesion complex, the team could determine a timeline of the events leading to the formation of the adhesion complex, and the hierarchy of the recruitment of key components for cell adhesion.

Cell-matrix adhesions — large protein complexes consisting of hundreds of different proteins — are highly dynamic. “Their dynamic structure and vast complexity make cell adhesions difficult to study,” Tampere University professor Vesa Hytönen said. “The details of how cell-matrix adhesions initially form and how they react to different stimuli have remained largely unknown.”

Researcher Rolle Rahikainen said that the team observed an immediate cell response after activating the talin protein with a short pulse of light. “We got very excited when we first realized how well the system worked in controlling complex cellular processes, such as the formation of adhesion and cell spreading.”

The findings demonstrate the potential of the light-activated protein superglue for investigating complex cellular processes. The results could also lead scientists to a more comprehensive understanding of the complex structure and function of adhesion.

The modular, Lego brick-like structure of the system makes it applicable to the study and control of diverse cellular functions. The precise, irreversible assembly of biological building blocks has many applications, from biomaterials to vaccines.

Beyond adhesion, SpyCatcher003 could be used for the photocontrol of biomolecules. The robust cellular response, initiated in seconds, opens possibilities for spatiotemporal control of highly dynamic intracellular and extracellular processes.

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Thursday, August 14, 2025

Photoacoustic Microscopy Images Stents Non-Invasively

 


Each year, around two million people in the U.S. are implanted with a stent to improve blood flow in narrowed or blocked arteries. Stents need to be monitored for problems such as fractures or improper positioning, but conventionally used techniques require invasive procedures or radiation exposure.

Researchers at Xi’an Jiaotong-Liverpool University found a way to safely monitor those stents using photoacoustic microscopy to image through the skin

“It is critical to monitor stents for problems such as fractures or improper positioning, but conventionally used techniques require invasive procedures or radiation exposure,” said co-lead researcher Myeongsu Seong from Xi’an Jiaotong-Liverpool University in China. “This inspired us to test the potential of using photoacoustic imaging for monitoring stents through the skin.”

The research work demonstrated that photoacoustic microscopy can be used to visualize stents covered with mouse skin under various clinically relevant conditions, including simulated damage and plaque buildup.

“While our photoacoustic microscopy results are preliminary, further development could enable frequent, noninvasive monitoring of stent status — without the need for surgical access or X-ray exposure,” said co-lead researcher Sung-Liang Chen from Shanghai Jiao Tong University in China. “This would make it easier and safer to monitor the condition of stents in patients.”

Photoacoustic imaging is a label-free technique that detects sound waves generated when materials absorb light and release energy. Because sound scatters less than light, this imaging method can be used to acquire higher-resolution images at greater depths than purely optical methods.

Although other studies have used photoacoustic imaging via an endoscope to image stents, this still requires that patients undergo a procedure. In the current study, the researchers examined whether photoacoustic microscopy could enable noninvasive stent monitoring through the skin.

To do this, they mimicked different stent scenarios, including fractures, compression and movement of overlapped stents. They also used butter to mimic deposition of plaque or blood clots after stenting. Using photoacoustic microscopy at various wavelengths, including 670 nm and 1210 nm, they were able to image these various stent conditions through excised mouse skin.

“One of the most interesting results is that we could easily differentiate between the butter we used to mimic a lipid plaque and the stent,” said Seong. “Because plaque and stents absorb light differently, using two wavelengths helped us distinguish them.”

The researchers said that photoacoustic microscopy could potentially be used to image stents placed in dialysis access sites, which are typically located just beneath the skin. For stents in deeper areas like the carotid artery, a related method called photoacoustic computed tomography may be more suitable.

The researchers pointed out that before photoacoustic imaging can be used for clinical noninvasive stent monitoring, in vivo animal experiments and preliminary clinical experiments would have to be performed. The system would also need to be optimized for use in various parts of the body.


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Wednesday, August 13, 2025

Evident's Pramana Acquisition Will Combine Clinical Microscopy, Digital Pathology Capabilities






Evident has agreed to acquire Pramana, a manufacturer of whole slide imaging technologies and digital pathology solutions. Terms of the deal have not been announced.

Founded in 2021 by nference, a leader in multimodal and agentic AI innovation, Pramana develops fully autonomous image scanning systems, which are designed for use in hospitals, research facilities, and educational institutions. The systems use volumetric imaging techniques to scan specimens at varying fields of view and combine the images into a single fully focused image. Real-time AI algorithms optimize efficiency, reduce costs, and enhance safety during the scanning process. According to Pramana, these built-in AI algorithms and automated quality control enable its solution to eliminate up to 70% of manual workflow steps while capturing previously undetectable tissue features, radically improving clinical diagnostics and research.

According to Evident, the acquisition complements and expands its portfolio of technologies to keep pace with daily caseloads, automate quality control, seamlessly integrate data and communication systems, and harness advances in AI-driven imaging and analysis.

Evident formed in April 2022 when Olympus Corporation finalized the separation of its Scientific Solutions business to a wholly-owned subsidiary. Evident completed the sale of it Inspection Technologies division, formerly part of Olympus' Scientific Solutions division, in a $1.78 billion dollar deal last month.

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Tuesday, August 12, 2025

OCT Technique Improves Accuracy of Deep Brain Stimulation Mapping





Deep brain stimulation (DBS), a surgical procedure that can be used to treat Parkinson’s, obsessive-compulsive disorder, and other neurological disorders, involves implanting electrodes in specific brain regions to regulate abnormal neural activity. The precise placement of these electrodes is crucial for a successful clinical outcome.

Magnetic resonance imaging (MRI), the tool commonly used for DBS mapping, lacks the resolution and contrast needed to accurately pinpoint the small, deep brain nuclei targeted for electrode placement. Consequently, researchers are exploring optical imaging techniques with better contrast, higher resolution, and lower costs than MRI to serve as supplementary tools in intraoperative DBS.

A study by Laval University and Harvard Medical School explores one such tool, polarization-sensitive optical coherence tomography (PS-OCT), and demonstrates its potential as a complementary imaging technique for guiding DBS surgery.

Unlike MRI, which provides mm-scale resolution, PS-OCT can visualize brain structures at the μm level. This enables it to provide detailed information essential to accurately target electrodes used in DBS surgery.

The researchers tested PS-OCT on three primary DBS targets in a postmortem animal. To simulate a DBS procedure, they inserted a PS-OCT probe into the brain along predefined trajectories. As the probe was pulled through the tissue, it collected data and captured high-resolution images of the brain’s internal structure. The researchers matched these images with MRI scans and anatomical references to assess their accuracy.

The PS-OCT system used a rotating catheter with a tiny lens and prism to direct light into the tissue and measure how the light’s polarization changed as it passed through different structures. This change, or birefringence, reflects the alignment and density of fibers in the brain’s white matter. The use of polarized light to detect subtle structural differences in tissue and capture birefringence could enable more accurate identification of white matter fiber tracts — bundles of nerve fibers in the brain that are crucial landmarks for DBS targeting.

The researchers used a simplified segmentation approach to compare the performance of PS-OCT with MRI. They averaged data along the probe path and applied clustering to separate tissue types. This allowed them to create “tissue barcodes” showing transitions between white and gray matter.

The results showed that PS-OCT was able to distinguish between white and gray matter more clearly than MRI. PS-OCT also captured fine fiber structures that MRI missed, such as the internal capsule, a dense bundle of fibers important for DBS planning. In one case, PS-OCT identified highly organized fiber tracts near the external pallidum that were invisible in MRI scans.

Overall, PS-OCT’s polarization-sensitive reconstruction algorithms provided more detailed, accurate information than MRI, while remaining consistent with MRI findings.

PS-OCT could provide surgeons with supplementary intraoperative feedback during DBS procedures, improving accuracy and reducing the risk of electrode misplacement. Moreover, the system’s compact form factor and imaging paradigm could be integrated seamlessly into the surgical workflow.

“Catheter-based PS OCT shows strong promise as a tool complementary to MRI in DBS neurosurgery,” researcher Shadi Masoumi said. “By providing high-resolution structural information and visualizing critical fiber pathways, it could help surgeons target brain regions more precisely.”

Although PS-OCT offers superior resolution, future advancements could further broaden its applicability. It currently measures fiber orientation in 2D only, and the ability to capture fiber orientations in 3D would increase its value as a visualization tool. The PS-OCT probe used in the study was slightly larger than standard DBS electrodes, but smaller probes are now available and could be adapted for clinical use.

Next steps include live testing, integration into surgical workflows, and direct comparisons with diffusion MRI, another technique used to map brain fibers. If successful, PS-OCT could become a valuable addition to the neurosurgical toolkit, improving outcomes for patients undergoing DBS.

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Monday, August 11, 2025

Hypervision and imec Collaborate on Hyperspectral Imaging for Surgery





Hypervision, a spin-out company from King’s College London that aims to advance computer-assisted tissue analysis for improved surgical precision and patient safety, has signed a strategic development agreement with imec. The collaboration targets the co-development of scalable technologies tailored for surgical applications, as the company works to scale its on-chip hyperspectral imaging and real-time AI analytics.

Hypervision's technology delivers tissue-level insights, including on oxygenation, perfusion, and tissue differentiation. Its regulatory-cleared intraoperative imaging platform combines on-chip hyperspectral imaging with real-time AI analytics operating at over 60 fps. Additionally, the technology is designed to integrate into existing surgical vision platforms and workflows. The company's platform is currently under clinical evaluation in U.K. hospitals, with a primary focus on gastrointestinal surgery.

Though hyperspectral imaging is already used in medical applications, previous hyperspectral systems have struggled with integration due to hardware complexity, slow processing speeds, and poor compatibility with surgical workflows. These bottlenecks can restrict the use of these system to research settings or post-operative analysis.

As part of the collaboration, imec is leveraging its expertise in semiconductor fabrication, equipment, and process technology to develop on-chip spectral imaging and to design and manufacture interference-based optical filters at the wafer level. imec's CMOS infrastructure provides compact, clean, and high-yield optical filter integration with scalability to high-volume production at low cost.

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Saturday, August 9, 2025

Low-Cost Microphone Listens with Light






Traditional microphones capture tiny vibrations on the surfaces of objects caused by sound waves and turn them into audible signals. A microphone developed by researchers at the Beijing Institute of Technology operates differently: Rather than sound, the microphone listens with light. This light-enabled microphone is able to pick up sounds in situations where traditional microphones are ineffective, such as through a glass window.

According to the researchers, the technique can work on everyday objects such as leaves and paper.

“The new technology could potentially change the way we record and monitor sound, bringing new opportunities to many fields, such as environmental monitoring, security, and industrial diagnostics,” said research team leader Xu-Ri Yao. “For example, it could make it possible to talk to someone stuck in a closed-off space like a room or a vehicle.”

While this technology has seen previous exploration, its earlier iteration has required expensive optical equipment. The current project sought to simplify the process by using single-pixel imaging, which would make this technology more accessible. Single-pixel imaging captures images using just one light detector instead of a traditional camera sensor with millions of pixels.

Rather than recording an image all at once, the scene's light is modulated using time-varying structured patterns by a spatial light modulator (SLM), and the single-pixel detector measures the amount of modulated light for each pattern. A computer then uses these measurements to reconstruct information about the object.

The team used a high-speed SLM to encode light reflected from the vibrating surface. The sound-induced motion causes subtle changes in light intensity that were captured by the single-pixel detector and then decoded into audible sound. Team members then used Fourier-based localization methods to track object vibrations, which enabled efficient and precise measurement of minute variations. Single-pixel detectors record the information in a relatively small amount of data, which means the data can be transferred between devices quickly.

The researchers tested the microphone, using it to reconstruct Chinese and English pronunciations of numbers as well as a segment from Beethoven’s Für Elise. They used a paper card and a leaf as vibration targets, placing them 0.5 m away from the objects while a nearby speaker played the audio. The system was able to reconstruct clear and intelligible audio, with the paper card producing better results than the leaf. Low-frequency sounds (<1 kHz) were accurately recovered, while high-frequency sounds (>1 kHz) showed slight distortion that improved when a signal processing filter was applied. Tests of the system's data rate showed it produced 4?MB/s, a rate sufficiently low to minimize storage demands and allow for long-term recording.

Future plans with this technology are human pulse and heart rate detection, as well as a wider range for long-distance sound detection.

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Thursday, August 7, 2025

Hybrid Material Achieves Fast, Stable Phosphorescent Emission for OLEDs





A hybrid material made from organic chromophores and transition metal dichalcogenides (TMDs) can produce stable, fast, phosphorescent light emission for OLED displays. The new hybrid, developed by a team co-led by the University of Michigan (U-M), could replace the heavy metal components currently used to improve efficiency, brightness, and color range in OLED devices.

Organic materials with room-temperature phosphorescence are an appealing alternative to heavy metals because of their tunable luminescent properties, large design window, environmentally-friendly components, and economical production cost.

Phosphorescence is 3 times more energy-efficient than fluorescence, but happens more slowly. To keep pace with modern displays, which operate at 120 frames per second, phosphorescence must occur in microseconds. The metals used in OLEDs, like iridium and platinum, enable phosphorescence to take place in microseconds instead of milliseconds. The large atomic nucleus of the heavy metal generates a magnetic field that causes the excited electrons to emit light faster as they go from the excited to the ground state.

The researchers developed an alternative strategy for developing emitters for phosphorescence by creating heterostructures of organic chromophores and TMDs.

The heterostructures were made of diethyl 2,5-dihydroxy terephthalate (DDT), an organic fluorophore, using various TMDs. A 2D layer of molybdenum (MoS2) and sulfur is positioned near a similarly thin layer of the organic light-emitting material, achieving physical proximity without any chemical bonding. Light emission occurs entirely within the organic material, without the need for weak, metal-organic ligand bonding.

The team observed the TMD-induced photophysical variations in the DDT and found that the DDT on the TMDs emitted microsecond phosphorescence at room temperature. It further found that spin-orbit couplings of the DDT were enhanced by the through-space, spin-orbit proximity effect of the TMDs in the heterostructures.

The hybrid construction increased light emission by 1000 times, achieving speeds fast enough for modern displays. “We found a way to make a phosphorescent organic molecule that can emit light on the microsecond scale, without including heavy metals in the molecular framework,” professor Jinsang Kim said.

Phosphorescent OLEDs that rely on heavy metals also use the metals to help produce color. The weak chemical bonds between the metal and the organic material can break apart when two excited electrons come into contact, dimming the pixel.

Pixel burnout in high-energy blue light has yet to be resolved, but the researchers hope their new design approach will contribute to stable, blue phosphorescent pixels. Currently, OLEDs use phosphorescent red and green pixels and fluorescent blue pixels, avoiding blue pixel burnout at the expense of lowering energy efficiency.

When the researchers analyzed the molecular hybrid system, they made an unusual discovery — the system appeared to break a rule of quantum mechanics.

Paired electrons sharing an orbital seemed to have a combined spin under dark conditions, suggesting a “forbidden” triplet state, when instead their spins should have cancelled one another out. According to a principle of quantum mechanics, the Pauli Exclusion Principle, an electron and its partner in the ground state must spin in opposite directions.

“We don’t yet fully understand what causes this triplet character in the ground state because this violates the Pauli Exclusion Principle,” Kim said. “That’s why we have a lot of questions about what really makes that happen.”

The researchers plan to explore how the hybrid material achieves triplet character ground states, while also pursuing potential spintronics device applications. The team has applied for patent protection with the assistance of U-M Innovation Partnerships and is seeking partners to create devices using the hybrid material.

In addition to the team from U-M, researchers from Inha University; Sungkyunkwan University; the University of California, Berkeley; and Dongguk University contributed to the study.


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Wednesday, August 6, 2025

Imaging Technique Provides Superresolution and High SNR for Thick Samples






The creation of sharp, detailed images of thick biological samples, such as those of human tissue, are now possible using an optical microscopy method developed by researchers at the Italian Institute of Technology (IIT). The team aimed to achieve the full resolution and signal to noise (SNR) benefits of image scanning microscopy (ISM). At the same time, it wanted to improve optical sectioning for complex, high-density samples.

The resulting imaging technique, which the researchers named superresolution sectioning image scanning microscopy (s2ISM), could help scientists gain insight into the aging process and the origin of certain diseases by studying the biomolecular processes inside living cells.

The technique reconstructs an image with digital and optical superresolution, high SNR, and enhanced optical sectioning from single-plane acquisition. It provides superresolution and optical sectioning simultaneously.

An instrument that acts like a light scalpel penetrates the sample deeply and observes the sample without damaging it. A small array of sensors captures the light at the point where it hits, and captures the various ways the light spreads in the sample. Once this information is recorded, a reconstruction algorithm processes the information, identifying the path of the light through the sample and producing sharper, better-sectioned images, without losing signal quality.

“The optical microscope used is equipped with an array of [single-photon avalanche diode] detectors, capable of detecting the arrival of individual photons with very high spatial and temporal precision,” researcher Alessandro Zunino said. “This characteristic not only improves the resolution and optical sectioning, but also enables advanced techniques such as fluorescence lifetime, which are fundamental to explore molecular dynamics in living tissues and to provide functional as well as structural information.”

Previous approaches to optical microscopy made it difficult to observe thick samples in detail, because the contrast in the image was hindered by the high density of the samples’ structures.

“What we did was rethink the way microscopes measure the light that hits the samples under observation, improving both the spatial resolution and the contrast when studying thick tissues, where background light would normally overpower their structure, creating noise in the images,” researcher Giuseppe Vicidomini, who coordinated the study, said.

The researchers formulated a comprehensive theoretical framework for their approach and validated the approach with images of biological samples captured using a custom setup equipped with a SPAD array detector. They demonstrated the s2ISM technique by exciting fluorescence emission in both linear and nonlinear regimes. Also, they generalized the reconstruction algorithm for fluorescence lifetime imaging.

The s2 microscopy method requires no changes in the optical system and can be extended to any laser scanning microscopy technique.

The new microscopy technique has many potential applications. For example, it could be used to study brain tissue, tumors, organoids, and other biological systems and observe the processes of living cells to better understand disease progression. In the pharmaceutical field, the technique could be used to visualize in real time how drugs interact with living biological tissues, speeding the discovery of new treatments.

The s2 technique is open-access and the code is provided as an open-source Python package; any laboratory can adopt, modify, and apply this technique at no cost and without the need for complex equipment. To simplify the application of s2ISM, the researchers have proposed a rigorous strategy to automatically extract the relevant parameters needed to run the algorithm.

The team hopes that making the software and data available for broad, rapid dissemination will encourage further innovation within the scientific community, especially in the fields of optical microscopy and life sciences.


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Tuesday, August 5, 2025

‘Self-Driving’ Microscope Predicts Neurodegenerative Disease






The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases such as Huntington’s, Alzheimer’s, and Parkinson’s. But to the human eye, proteins that are destined to form harmful aggregates are indistinguishable from normal proteins. The formation of such aggregates also tends to happen randomly and relatively rapidly — on the scale of minutes. The ability to identify and characterize protein aggregates is essential for understanding and fighting neurodegenerative diseases.

Now, using deep learning, École Polytechnique Fédérale de Lausanne (EPFL) researchers have developed a “self-driving” imaging system that leverages multiple microscopy methods to track and analyze protein aggregation in real time — and even anticipate it before it begins. In addition to maximizing imaging efficiency, the approach minimizes the use of fluorescent labels, which can alter the biophysical properties of cell samples and impede accurate analysis.

“This is the first time we have been able to accurately foresee the formation of these protein aggregates,” said recent EPFL Ph.D. graduate Khalid Ibrahim. “Because their biomechanical properties are linked to diseases and the disruption of cellular function, understanding how these properties evolve throughout the aggregation process will lead to fundamental understanding essential for developing solutions.”

The project is the result of a longstanding collaboration between the labs of Aleksandra Radenovic, head of the Laboratory of Nanoscale Biology and Hilal Lashuel of the school of sciences. The work unites complementary expertise in neurodegeneration and advanced live-cell imaging technologies.

“This project was born out of a motivation to build methods that reveal new biophysical insights, and it is exciting to see how this vision has now borne fruit,” Radenovic said.

In their first collaborative effort, led by Ibrahim, the team developed a deep learning algorithm that was able to detect mature protein aggregates when presented with unlabeled images of living cells. The new study builds on that work with an image classification version of the algorithm that analyzes such images in real time: when this algorithm detects a mature protein aggregate, it triggers a Brillouin microscope, which analyzes scattered light to characterize the aggregates’ biomechanical properties like elasticity.

Normally, the slow imaging speed of a Brillouin microscope would make it a poor choice for studying rapidly evolving protein aggregates. But thanks to the EPFL team’s AI-driven approach, the Brillouin microscope is only switched on when a protein aggregate is detected, speeding up the entire process while opening new avenues in smart microscopy.

“This is the first publication that shows the impressive potential for self-driving systems to incorporate label-free microscopy methods, which should allow more biologists to adopt rapidly evolving smart microscopy techniques,” Ibrahim said.

Because the image classification algorithm only targets mature protein aggregates, the researchers still needed to go further if they wanted to catch aggregate formation in the act. For this, they developed a second deep learning algorithm and trained it on fluorescently labelled images of proteins in living cells. This “aggregation-onset” detection algorithm can differentiate between near-identical images to correctly identify when aggregation will occur with 91% accuracy. Once this onset is spotted, the self-driving system again switches on Brillouin imaging to provide a never-before-seen window into protein aggregation. For the first time, the biomechanics of this process can be captured dynamically as it occurs.

Lashuel emphasized that in addition to advancing smart microscopy, this work has important implications for drug discovery and precision medicine. “Label-free imaging approaches create entirely new ways to study and target small protein aggregates called toxic oligomers, which are thought to play central causative roles in neurodegeneration,” he said. “We are excited to build on these achievements and pave the way for drug development platforms that will accelerate more effective therapies for neurodegenerative diseases.”

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Monday, August 4, 2025

Novel 3D Laser Scanner Helps Harvest with Purpose





Due to a shortage of skilled workers, researchers around the world are working to develop harvesting robots that could provide support to agricultural businesses. Currently, however, according to Andreas Nüchter, from Julius-Maximilians-Universität (JMU) Würzburg, initial prototypes have yet to reach high levels of functionality for the necessary applications.

In response, researchers at the University of Würzburg have developed a 3D laser scanner system that aims to provide a better understanding of the condition of plants — for example, by reliably measuring the water content of fruits. This knowledge is crucial for determining the right time to harvest, according to Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) researcher Manuela Zude-Sasse, who led the development team.

“For the production of horticultural products, knowledge of the stage of ripeness is very important in order to be able to optimally control cultivation, harvest time and storage,” Zude-Sasse said.

“Against the backdrop of increasingly variable growth factors due to global warming, precise data on fruit development is becoming increasingly important — for scientific modelling as well as for the future use of commercial harvesting robots.”

The development team installed the system on a test site in Potsdam, Germany, and initial tests have been successful, team members said. For testing, the 3D laser scanner was mounted on a sensor conveyor station that circles a plantation of 120 apple trees. Harvesting robots, or the imaging and sensing systems embedded into or onto them, must be able to ‘read’ apple trees and other plants correctly, since no two plants look exactly alike.

The plant scanner is further designed to withstand wind and weather, and to operate in temperatures between 0 °C - 40 °C. The sensor system works on the principle of structured light: It projects three wavelengths: 520 nm, 660 nm, and 830 nm onto the plants. The reflected signals provide precise spatial information about the plants. Because the signals are available separately for each wavelength, they open possibilities for recording physiological properties of the plants, such as water content.

The sensor system will be used continuously on the ATB test site until November to monitor the 120 apple trees. The researchers designed the 3D laser scanner exclusively for experimental use, they said, with the goal of improving the data basis for modelling work and the specifications for future harvesting robots.

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When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process ...