fluorescence / live-cell microscopy

This study uses cryogenic light microscopy to determine three conformational states of PIEZO1 in the cell membrane, revealing structural changes associated with channel opening.

This study develops MIET-MTP to measure axial integrin traction forces in live cells with nanometer precision, revealing detailed structural insights into force transmission.

This paper combines multi-site FRAP with HILO-TIRF microscopy using a spatial light modulator to enable simultaneous high-contrast imaging and dynamic photobleaching across multiple positions.

This study develops a method to detect and quantify extracellular vesicles using fluorescent antibodies and single-molecule confocal microscopy, achieving femtomolar sensitivity without purification.

The paper quantifies mechanical forces on TCR:pMHC interactions in CD4+ T-cells, finding low forces that do not affect bond lifetimes, suggesting the immunological synapse stabilizes antigen recognition.

OrganoSeg2 improves organoid segmentation and tracking, outperforming alternatives and enabling analysis of growth and radiotherapy responses in breast cancer organoids.

The paper introduces a drag flow method to study protein-protein interactions, showing that low forces detach tropomyosin clusters from actin filaments, with detachment rates depending on isoform and force magnitude.

This study uses time-resolved tmFRET to analyze conformational changes and energetics in the CNBD of SthK, showing that transmembrane domains make the activating conformation more favorable.

This study investigates how DNA polymerase displaces SSBs during replication, showing sequential displacement and the role of SSB saturation in replication efficiency.

This study shows that a non-pathogenic E. coli strain can exhibit pathogenic traits under infection conditions using live-cell fluorescence microscopy.

This paper introduces a framework for semi-automatically inferring animal behavior from monocular videos using deep learning, demonstrating it on zebra behavior data.

The paper develops an optimized Ex-dSTORM method to resolve endogenous protein assemblies with nanometer precision in cells.

This study uses upconversion nanoparticles and real-time imaging to visualize vascular permeability changes in zebrafish, revealing distinct transcellular and paracellular transport mechanisms and demonstrating enhanced BBB penetration with functionalized nanoparticles.

This study uses in silico FRAP experiments to analyze how synaptic geometry and protein-vesicle binding affect protein mobility, identifying two key mechanisms influencing recovery times.

The paper develops PILS-Nir1, a phosphatidic acid biosensor, and shows it detects PA dynamics in live cells with higher sensitivity than existing tools.

The paper introduces tkPAINT, a method combining TIRF microscopy and Tokuyasu cryosectioning to enhance DNA-PAINT for single-protein imaging and molecular counting with 3 nm precision across cells and tissues.

This paper introduces SQUASSH, a convolutional neural network that fits structural models to fluorescence microscopy data to quantify variability across biological scales.

The paper shows efflux pumps reduce drug-target binding affinity by limiting rebinding, not just by reducing drug entry, thereby enhancing multidrug resistance.

This study shows that LdcI filamentation in E. coli drives peripheral clustering, enhancing acid stress response by spatially organizing the enzyme.

This paper introduces a method combining chemogenetic split reporters and STED microscopy to map protein-protein interactions in live cells with sub-diffraction resolution.

This paper introduces a Bayesian S-FLIM framework that learns spectra and lifetimes photon-by-photon, enabling efficient deconvolution of up to 9 fluorophore species with overlapping spectra.

This paper develops a high-throughput single-molecule FLIM technique using a time-gated single-photon camera, achieving precise lifetime measurements with spatial multiplexing of over 3000 molecules.

The paper designs orthogonal fluorophore-binding proteins using deep learning for multiplex imaging, demonstrating high specificity and utility in labeling and monitoring subcellular processes.

The paper identifies intermediate voltage-sensor conformations in hERG channels caused by LQTS-associated mutations using FLIM, tmFRET, and MD simulations.

This paper introduces a superresolution microscopy technique called centroid reassignment microscopy (CRM) that enables fast, robust, and protocol-compatible imaging of live samples.

This study identifies unique mitotic features in Paradiplonema papillatum using fluorescence microscopy and YFP-tagging, revealing novel structures like metaphase rings and potential kinetochore localization.

BeeSAM2 detects bumblebees in cherry flower timelapse images using foundational models, achieving high recall and precision for efficient pollinator monitoring.

This paper develops a semi-automated image analysis framework to quantify spatiotemporal DNA damage foci in live tumor spheroids using live imaging and fluorescent sensors.

MLDAAPP is a tool for automated phenotypic data collection from images and videos, improving accuracy, scalability, and reducing human bias in biological studies.

This study measures cyclin-CDK dissociation constants in living cells using FCCS with optimized fluorescent proteins, revealing insights into cyclin-CDK binding redundancy.