Advanced Fluorescence Microscopy Techniques

Chemogenetic timestamping for the precise tracing of cell history into protein assemblies

The paper introduces CATCHFiber, a method to timestamp cellular events with high temporal resolution using self-assembling protein fibers, enabling precise tracking of processes like protein degradation and cell cycle steps.

VLab4Mic: prediction of structural resolvability in super-resolution microscopy

VLab4Mic predicts structural resolvability in super-resolution microscopy by simulating imaging configurations and comparing results to experimental data.

Graph neural network modeling of receptor interaction kinetics from single-molecule imaging data

The paper develops Deep-FISIK, a graph neural network, to predict receptor interaction kinetics from single-molecule imaging data without explicit tracking.

Simulation of neurotransmitter release and its imaging by fluorescent sensors

The paper presents a kinetic Monte Carlo framework to simulate neurotransmitter release and fluorescent sensor imaging, showing how sensor location and kinetics affect fluorescence images.

Rapid immunostaining and high-resolution three-dimensional light-sheet microscopy of intact calcified tissues

This paper introduces a protocol for rapid, high-resolution 3D imaging of intact calcified tissues using immunostaining and light-sheet microscopy.

A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level

This paper introduces LUNA, an autofocusing method that enables high-precision single-cell imaging of bacterial cold shock response, revealing three-phase adaptation dynamics and size regulation mechanisms.

dSTORMQuant: A Python Package for Post-Processing and Quantitative Analysis of SMLM datasets

dSTORMQuant is a Python package for automated post-processing and quantitative analysis of SMLM datasets, enabling efficient handling of large-scale data with minimal manual intervention.

Direct visualization of Na,K-ATPase clustering by 3D DNA-PAINT MINFLUX nanoscopy

This study uses 3D DNA-PAINT MINFLUX nanoscopy to directly visualize Na,K-ATPase clustering in mammalian cells, revealing dimerization and higher-order nanoclusters.

A uniform tissue-clearing framework and mesoSPIM-ultra enable cm-scale single-neuron tracing

The paper introduces a tissue-clearing framework and mesoSPIM-ultra system for large-scale single-neuron tracing in cleared mouse tissue.

Segmentation-guided photon pooling enables robust single cell analysis and fast fluorescence lifetime imaging microscopy

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.

Opto2P-FCM: A MEMS based miniature two-photon microscope with two-photon patterned optogenetic stimulation

This paper introduces a miniature two-photon microscope with optogenetic stimulation for studying neural activity in freely moving mice.

Genetically Encoded Melanin as a Photostable Scattering Contrast for Whole-Brain Tomography

The paper introduces MelaCAST, a genetically encoded scattering method for whole-brain imaging in mice, providing photostable contrast without photobleaching.

Quantitative Motion-Corrected PALM Links Endosome Structure and Dynamics in Live Cells

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

Data-adaptive three-dimensional deconvolution and evaluation for volumetric fluorescence microscopy

This paper introduces 3D-ADE, a toolkit for adaptive 3D deconvolution and evaluation of volumetric fluorescence microscopy, improving resolution and fidelity through physics-based PSF calibration and deep learning.

Establishing MS2-MCP-based single-molecule RNA visualization in Schizosaccharomyces pombe

The paper establishes single-molecule RNA visualization in fission yeast using the MS2-MCP system by optimizing MCP expression and fluorescent tags.

Robust quantification of multiplexed fluorescent protein-based biosensors in plant tissues

This study demonstrates multiplexing fluorescent biosensors in plants using linear unmixing and provides a MATLAB tool for quantification.

Monitoring microscope performance in an imaging facility using OMERO-metrics.

The paper develops workflows to monitor microscope performance using fluorescent beads and OMERO-metrics, detecting instrument degradation and quality issues.

Universal approach to wave-optical calculations of point spread functions in microscopy (and beyond)

This paper introduces a universal method for wave-optical PSF calculations in microscopy, supported by a MATLAB software package, and demonstrates its application across multiple imaging techniques.

A High-Affinity Nanobody Recognizing mNeonGreen Enables Versatile Biochemical, Cellular, and in vivo Applications.

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

Optical Windows for Transcranial Brain Imaging in Living Mice: Skull Thinning, Clearing, and Beyond

This study evaluates transcranial optical window techniques for long-term brain imaging in mice, identifies skull regrowth as a key limitation, and proposes a glucocorticoid-based solution to extend imaging performance.

High-speed volumetric single-molecule imaging using dual-wavelength light sheets and PSF-engineered enhanced biplane detection

This paper introduces SoLiD-3D, a high-speed volumetric SMLM platform that improves localization density and axial resolution using dual-wavelength light sheets and engineered PSFs.

Index-agnostic oblique plane light sheet microscopy of centimetre-scale cleared tissues at subcellular resolution

This paper introduces CtDvOPM, a microscopy technique that enables high-resolution imaging of large cleared tissues at subcellular levels without image tiling.

Improving the detection sensitivity of calcium transients in densely labeled neuronal tissue with pinhole illumination - A low-cost approach

This paper introduces a low-cost method using pinhole illumination to improve calcium transient detection in densely labeled neuronal tissue, enabling the identification of over 300 neurons in ex vivo brain slices.

Fluorescence Blinking Patterns Fingerprint the Local Protein Environment

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

Robust thermometry-imaging at sub-micrometer and millisecond-resolution by fluorescence lifetime microscopy allows for additional acquisition of multiple imaging channels

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.

A sensitive orange fluorescent calcium ion indicator for imaging neural activity

The paper introduces OCaMP, an orange fluorescent calcium indicator that improves sensitivity and performance compared to existing green and red indicators for neural imaging.

smDeepFLUOR: Single-Molecule Deep Learning Fluorescence Classification

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

High-resolution image-projection fluorescence lifetime imaging microscopy

This paper introduces IP-FLIM, a method that improves fluorescence lifetime imaging by reducing noise and increasing contrast-to-noise ratio.

Red-shifted GRAB acetylcholine sensors for multiplex imaging in vivo

The paper develops red-shifted GRAB acetylcholine sensors for multiplex imaging of ACh and other neuromodulators in vivo with high spatiotemporal resolution.

Coherent Structured Illumination Microscopy with Enhanced Optical Sectioning

This paper introduces a 5-beam c-SIM technique that improves optical sectioning and lateral resolution in non-fluorescent samples by suppressing coherent defocus effects.