fluorescence / live-cell microscopy

The paper uses delay embedding and VAE features to predict single-cell dynamics of a molecular reporter from unlabeled live-cell imaging data.

The paper develops a method and Python tool to generate flow cytometry-like data using accessible microscopes, showing comparable speed and improved sensitivity.

This paper shows that AC electro-osmosis causes fluorescent dips in cationic fluorophores, creating false action potential signals in bacterial cells and biofilms.

The paper introduces Multi-SpinX, an AI framework that extends SpinX to track mitotic spindles and kinetochores in multicellular environments across different mitotic stages.

This paper uses image-driven machine learning to predict tree seed germination, finding that X-ray images are better at detecting empty seeds while color images struggle with variability and differentiation.

The study directly visualizes CSC internalization and shows actomyosin and the Arp2/3 complex are involved in both exocytosis and internalization of CSCs.

This study shows that Ydj1, an Hsp40, prevents amyloid formation of the Y145Stop prion protein variant through heterotypic phase separation.

The paper develops enhanced kinase translocation reporters (eKTRs) for PKA and ERK, showing improved sensitivity and dynamic range in neurons, and reveals signaling pathway crosstalk.

This paper introduces new organellar Ca2+ sensors with tunable colors and improved brightness and photostability for multiplexed measurements in different organelles.

This paper introduces a fluorescence lifetime-based method to measure membrane potential in Bacillus subtilis, achieving single-cell resolution and quantification of MP changes under chemical perturbations.

This paper develops a DNA-mediated photostabilization method for single-molecule and super-resolution imaging, showing improved performance at lower additive concentrations and enabling continuous replenishment of photostabilizers.

PixlMap is a deep learning method for cellular phenotyping in multiplex immunofluorescence images that uses nuclear segmentation alone to classify cells without requiring full cell boundaries.

This paper introduces WF-BonFIRE, a wide-field bond-selective fluorescence imaging technique that achieves single-molecule sensitivity and kilohertz speeds for live-cell and bacterial imaging.

The paper introduces MitoProfilerHC and an open-source version of MitoProfiler to quantify mitochondrial morphology in cells using high-content analysis and napari.

The paper investigates how structural ensembles of disordered activation domains correlate with transcriptional activity through mutational analysis of HIF-1 and CITED2.

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.

The paper uses single-cell data to show variability in ribosome concentrations and growth rates in Escherichia coli, challenging the population-level growth law.

This paper applies deep learning models to classify colorectal cancer categories in histopathology images, achieving high accuracy with ResNet and Swin Transformer models.

This study examines how actin and vimentin affect microtubule structure and curvature in mouse fibroblasts, finding that microtubule orientation and bending are largely independent of these cytoskeletal components.

The paper describes an AMPK-based FRET sensor, AMPfret, that detects conformational changes in AMPK upon nucleotide binding, enabling analysis of AMPK activation in vitro and in cells.

The paper identifies a potent MET degrader using live cell imaging, showing it is more effective than existing PROTACs.

The paper develops a method to quantify hemichannel permeability using fluorescence imaging, electrophysiology, and mathematical modeling, showing a significant increase in DAPI permeability for Cx26*A49E.

This study uses single-molecule FRET to show urea activates adenylate kinase by promoting an open conformation and reducing AMP inhibition, revealing the interplay between conformational dynamics and substrate binding.

This study compares lipid-based probes for plasma membrane labeling in live, fixed, and permeabilized cells, identifying a superior probe based on its lipid structure.

RefineDLC improves DeepLabCut outputs by cleaning, filtering, and interpolating data to produce reliable kinematic analyses across species and recording conditions.

This study compares signal models for mapping cerebrovascular reactivity using BH BOLD-fMRI, finding PetCO2 regressors with single gamma HRF provide the best results.

This paper engineers a green fluorescent protein that changes its chromophore charge state through copper-dependent homodimerisation, resulting in a 30-fold fluorescence emission ratio change.

The paper presents and characterizes mutations that improve cytosolic localization in FLIM-based cAMP FRET sensors while maintaining performance.

The paper develops modular fluorescent cholesterol analogs to study subcellular cholesterol trafficking, showing that head group modifications affect internalization efficiency and subcellular distribution.

This study explores mScarlet-based red fluorescent proteins for developing a calcium indicator with fluorescence lifetime contrast, but finds that lifetime contrast is lost in mammalian cells compared to bacterial lysates.