Advanced Fluorescence Microscopy Techniques

This paper introduces SNAP-tag2, an improved version of SNAP-tag with faster labeling kinetics and higher fluorescence brightness for better live-cell imaging.

The paper introduces a model-free method to analyze diffusion-based single-molecule FRET experiments, showing it accurately captures protein dynamics without artifacts from photon trajectory length or diffusion.

This paper introduces a label-free imaging method to visualize ciliary rootlets in mouse brain tissue, revealing their organized distribution and formation timing relative to primary cilia.

The paper introduces ExA-SPIM, a microscope that enables high-resolution imaging of large tissue samples without sectioning, demonstrating its use on mouse brains and human white matter.

This paper introduces a method to enhance fluorescent dye imaging in living cells by using FRET pairs to reduce background noise and improve signal-to-noise ratio.

The paper introduces SWIFT, a new interferometer that projects arbitrary interference patterns using a single galvanometric mirror, and applies it to 2D and 3D Structured Illumination Microscopy.

This paper introduces a 3D immunolabeling method for high-speed and high-sensitive detection of targets in 3D tissues, demonstrating its application in visualizing neuronal and glial cells in mouse brain tissues.

This study develops a theoretical uncertainty model for phasor-based FLIM to quantify noise effects on lifetime estimation and fluorophore unmixing, validated with simulations and experiments.

FLIMngo, a deep learning model, enables fast and accurate fluorescence lifetime predictions from low-photon FLIM data, improving throughput and reducing phototoxicity for in vivo applications.

This paper introduces a method combining quantum dots, widefield imaging, and deconvolution to improve the speed and signal-to-noise ratio of expansion microscopy.

This study develops sciDISCO, an optimized tissue clearing protocol for spinal cord imaging in mice, enabling 3D analysis of intact and injured tissue.

The paper introduces tunable fluorogenic DNA probes that enable high-concentration single-molecule fluorescence imaging, overcoming the high concentration barrier and enabling faster and higher-resolution imaging.

This study demonstrates electrokinetic detection of single-molecule phosphorylation, resolving phosphorylated sites and monitoring kinase cycles with single turnover resolution.

The paper introduces a far-red dopamine sensor, HaloDA1.0, enabling multiplex imaging of neurochemical networks in vivo with high sensitivity and versatility.

This paper introduces a model-based method to estimate field-dependent aberrations in single molecule localization microscopy without calibration, improving localization accuracy across large fields of view.

This paper introduces a two-photon fiberscope with tunable focus for in vivo imaging at selected depths, demonstrating its performance using phantoms and biological samples.

This paper optimizes genetically encoded nanoparticle expression to improve single-particle tracking of cytoplasmic diffusion in mammalian cells, showing increased diffusivity and better tracking quality.

This paper introduces a DNA-PAINT system with optical photon reassignment on a spinning disk confocal to achieve high-resolution imaging in thick samples and large fields of view.

The paper investigates phototoxicity in nonlinear optical imaging and proposes a technique to mitigate it using rapid sub-80-fs excitation with full triplet-relaxation.

FLIMPA is an open-source software for FLIM phasor analysis that integrates data from multiple trials and provides tools for quantifying microtubule depolymerisation.

This paper demonstrates three-photon in vivo imaging in the mouse medial prefrontal cortex to achieve sub-cellular resolution of neuronal and glial activity at unprecedented depths.

This paper introduces GLF-MINFLUX, a method for nanoscale imaging of densely packed structures, achieving improved localization precision and faster acquisition.

This paper introduces a method to image neuronal voltage with super-resolution beyond tissue scattering limits, achieving high precision in dense neuronal populations.

This paper introduces near-zero photon imaging, a method that captures high-fidelity biological images at ultralow irradiance and high speed using AI.

This paper introduces a triple-labeling strategy for single molecule FRET to study conformational changes in GPCRs, revealing a previously unknown intermediate state.

The paper uses a multimodal imaging approach to study breast cancer cell invasion in 3D spheroids, quantifying changes in metabolism, fatty acid storage, and collagen organization over time.

PerfectlyAverage determines optimal averaging parameters in laser scanning fluorescence microscopy by analyzing SNR, photobleaching, and PSD to reduce acquisition time.

This paper introduces a method to remove defocus backgrounds in fluorescence microscopy using dark channels and dual frequency separation, significantly improving image quality.

This paper develops a probabilistic algorithm to accurately identify and quantify intermolecular interactions using single-molecule localization microscopy.