fluorescence / live-cell microscopy

This study introduces a semi-automated method to segment and analyze glomerular architecture from 3D confocal microscopy data, reducing manual effort and improving standardization.

The paper uses FLIM to map membrane tension changes during neutrophil NETosis, finding transient increases followed by decreases and spatial heterogeneity.

This study uses a noncanonical amino acid to label stress granule and TDP-43 proteins with minimal disruption, showing accurate localization and dynamics in live cells.

This study shows that Clr4's engagement with chromatin in S. pombe is driven by substrate recognition, not sequestration, through guided search behavior.

This paper introduces a photon pooling technique for faster single-cell FLIM analysis without machine learning, achieving single-cell metabolic data every second and 15x faster mosaic acquisition.

This paper introduces mcPALM, a motion-corrected PALM method for live-cell imaging, showing it recovers endosome dynamics and molecular composition in yeast.

NucleiSky registers microscopy images across scales and modalities by aligning nuclei constellations, achieving accurate localization with minimal landmarks.

This study shows E. coli rapidly remodels its proteome during early starvation, with gene expression patterns in the first 10 hours determining long-term stress tolerance.

This paper introduces sdAb(mNG), a high-affinity nanobody that enables versatile applications for mNG-tagged proteins, including imaging, immunoprecipitation, and in vivo manipulation.

LitSHi automatically aligns 3D Light Sheet Fluorescence Microscopy and 2D histology images to improve multimodal tissue analysis.

This study shows that ZYG-8 increases microtubule rigidity, which is essential for proper spindle orientation during C. elegans zygote division, and links microtubule mechanics to spindle positioning.

The paper uses temporal convolutional networks to classify bacterial mixture compositions from motion features in microscopy videos, achieving 93.3% accuracy without fluorescent labeling.

The paper investigates the spatial organization of Rho and RNA Polymerase in Salmonella cells, revealing distinct localization patterns and functional differences between Rho variants.

The paper quantifies the contribution of different PSII compartments to NPQ in Arabidopsis using fluorescence measurements and steady-state experiments.

The paper introduces two image-analysis pipelines to objectively quantify BBB integrity in vitro and in vivo, showing reduced ZO-1 fragment area and fragmentation ratio in glycocalyx knockdown models and altered markers in aged and Alzheimer's mice.

This paper benchmarks predictive modeling and control techniques with optogenetics to steer nucleocytoplasmic transport in mammalian cells, showing robust performance against cell-to-cell variation.

This study uses advanced microscopy to show that antibiotic biosynthesis in Streptomyces sp. Mg1 is integral to cell envelope structure and dynamics.

The paper uses single-cell genomics and fluorescence microscopy to study plastids in marine centrohelids, finding evidence of permanent plastid integration and vertical transmission.

This study shows that ionic exposure history affects inner nuclear membrane voltage and chromatin texture in NRK cells, with responses dependent on exposure order and chromatin state.

This study shows fluid shear stress increases clathrin-mediated endocytosis in endothelial cells at low stress but not high stress.

This study uses FLIM-FRET to show that apoptotic stress increases Bcl-xL-BAD interaction, with structural mutants revealing distinct binding requirements and functional outcomes.

This paper develops a machine learning approach to semi-quantitatively classify HIV-1 nucleic acids using image analysis of isothermal amplification reactions in microfluidic chips, achieving high accuracy across a wide concentration range.

This paper uses single-molecule fluorescence blinking to identify proteins and their modifications by analyzing the physicochemical environment of their surface.

The paper introduces a method to measure temperature with high precision and resolution using fluorescence lifetime microscopy with Cy5 dye, enabling simultaneous multi-channel imaging.

This study uses single-molecule super-resolution microscopy to analyze the in vivo dynamics of DNA gyrase in live E. coli, revealing its association with replisomes and highlighting the importance of studying all subunits of enzyme complexes.

The paper evaluates sampling, loss functions, and masking strategies for vEM organelle segmentation, finding that these factors significantly impact performance, especially for rare classes.

This paper develops a label-free imaging and deep learning approach to rapidly identify pathogens, achieving high accuracy in clinical samples and reducing diagnosis time.

BioBrain translates natural language into reproducible microscopy analysis pipelines, outperforming language models in accuracy while enabling non-experts to analyze complex imaging data.

smDeepFLUOR uses deep learning to classify single-molecule fluorescence signals, distinguishing specific from nonspecific protein binding with 97% accuracy and capturing DNA synthesis kinetics.

This study introduces vaTIRF-SIM to visualize clathrin coat organization and axial progression in real time, revealing distinct clathrin pit formation pathways.