Advanced Fluorescence Microscopy Techniques

AutoSTED: An automated workflow for STED super-resolution imaging of cell nuclei

AutoSTED automates the identification and super-resolution imaging of cell nuclei, enabling unbiased large-scale data collection.

CleLight: A scalable 3D histology pipeline for mappingneurodegenerative and psychiatric pathology in archivalhuman brains

CleLight improves transparency and reduces autofluorescence in human brain tissue, enabling detailed imaging of pathological features in archival samples.

Retroreflective beam multiplexing enables high-throughput two-photon voltage imaging in vivo

This paper introduces a retroreflective beam multiplexing technique for high-speed two-photon voltage imaging in vivo, enabling kilohertz-frame-rate imaging across a 16-fold expanded field of view.

Single-objective lattice light sheet microscopy with microfluidics for single-molecule super-resolution imaging of mammalian cells

This paper introduces a single-objective lattice light sheet microscopy platform for improved 3D single-molecule super-resolution imaging in scattering samples.

Mitigating the Field-of-View - Resolution Tradeoff by Photon Superlocalization

This paper introduces photon superlocalization to improve spatial resolution without sacrificing field-of-view in optical imaging systems.

Low-Cost 3D Printed Optics for Super-Resolution Multifocal Structured Illumination Microscopy

This paper develops low-cost 3D printed lenslet arrays for super-resolution microscopy, achieving resolution comparable to commercial optics.

Voltage Imaging with Periodic Structured Illumination

This paper demonstrates reduced signal contamination from out-of-focus cells in vivo voltage imaging using pHiLo compared to traditional widefield methods in awake mice.

FACED 2.0 enables large-scale voltage and calcium imaging in vivo

The paper introduces FACED 2.0, a high-speed imaging technique that enables simultaneous voltage and calcium activity recording in vivo across large neuronal populations.

Quantitative STED microscopy with DNA-fluorophore labels

This paper introduces a method for quantitative STED microscopy using DNA-fluorophore labels to enable molecule counting in biological samples.

Predicting and Designing Red Fluorescent Protein Variants Using Sequence-to-Function Machine Learning Models

The paper uses sequence-to-function machine learning models to predict and design improved red fluorescent protein variants, identifying variants with enhanced photophysical properties.

Evaluating MINFLUX experimental performance in silico

The paper evaluates MINFLUX performance using a simulator to identify limitations from fluorophore dynamics, background, estimators, and misalignment.

Near-infrared MINFLUX imaging enabled by suppression of fluorophore blinking

This paper identifies fluorophore blinking as a source of errors in MINFLUX imaging and demonstrates strategies to suppress these errors, enabling near-infrared MINFLUX with nanometer precision.

Rapid robust high-fidelity 3D neuronal extraction from multi-view projections

The paper introduces DeepWonder3D, a pipeline for rapid and robust 3D neuronal extraction from multi-view projections, achieving high fidelity and efficiency in calcium dynamics analysis.

Maximising imaging volumes of expanded tissues for inverted fluorescence microscopy

The paper introduces a method to improve deep imaging of expanded tissues using inverted microscopes by using FEP film and water immersion objectives, achieving sub-micron resolution and 800 µm depth.

Cryogenic light microscopy of vitrified samples with Angstrom precision

This paper introduces a method for cryogenic light microscopy with Angstrom precision to study membrane proteins in near-native conditions.

DENDRO: Recovery and denoising of whole-tree dendritic voltagefrom 2D voltage movies

DENDRO recovers and denoises 3D dendritic voltage from 2D voltage movies using a microscope model and a self-supervised neural network, achieving high accuracy on simulated and real data.

Miniscope Processing Suite (MPS): An Intuitive, No-Code, Scalable Pipeline for Long Duration Calcium Imaging

The paper introduces MPS, a no-code pipeline for processing long-duration miniscope calcium imaging data, achieving faster processing speeds than traditional methods.

Multi-modal, Label-free, Optical Mapping of Cellular Metabolic Function and Oxidative Stress in 3D Engineered Brain Tissue Models

This study develops a label-free optical method to assess metabolic function and oxidative stress in 3D brain tissue models using spectral imaging and fluorescence lifetime analysis.

Detailed Colocalization Analysis of A- and B-type Nuclear Lamins: a Workflow Using Super-Resolution STED Microscopy and Deconvolution

This paper optimizes deconvolution methods for STED and CSLM microscopy to improve colocalization analysis of A- and B-type nuclear lamins in fibroblasts.

All-Optical Strategies to Minimize Photo-Bleaching in Reversibly Switchable Fluorescent Proteins

The paper develops all-optical strategies to reduce photo-bleaching in reversibly switchable fluorescent proteins, enhancing imaging resolution and duration.

High-throughput two-photon volumetric brain imaging in freely moving mice

This paper introduces a high-throughput miniature two-photon microscope for imaging calcium dynamics in freely moving mice, enabling large-scale recordings of over 1000 neurons in specific brain regions.

A Compact Two-Photon Module for Simultaneous Dual-Depth, Multi-Region in vivo Brain Imaging

This paper introduces a compact two-photon imaging module that enables simultaneous dual-depth, multi-region in vivo brain imaging, revealing context-dependent and depth-divergent neural activity patterns.

Smart 3D super-resolution microscopy reveals the architecture of the RNA scaffold in a nuclear body

The paper uses smart 3D super-resolution microscopy to study the RNA scaffold structure in paraspeckles, revealing new insights into their 3D organization and growth.

All-optical visualization of specific molecules in the ultrastructural context of brain tissue

This paper introduces pan-ExM-t, an all-optical method for visualizing specific proteins in the ultrastructural context of brain tissue, demonstrating its application on various markers in mouse brain sections and neuron cultures.

SMOLM-LFM: ratiometric single molecule orientation without polarizers

This paper introduces SMOLM-LFM, a method for 3D single-molecule orientation and localization microscopy using ratiometric intensity estimation without polarization projections, enabling 6D molecular analysis.

Towards improved particle averaging for single-molecule localization microscopy using geometric deep learning

This paper develops a geometric deep learning framework for improved particle averaging in single-molecule localization microscopy, achieving comparable results to state-of-the-art methods without explicit 3D alignment.

Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging

This paper introduces a deep learning method to improve calcium imaging by reducing scattering and increasing throughput in light-field microscopy.

SpeedyTrack: Direct microsecond wide-field single-molecule tracking and super-resolution mapping via CCD vertical shift

SpeedyTrack enables microsecond wide-field single-molecule tracking and super-resolution mapping using EM-CCD vertical shift without modifying existing microscopy setups.

SurFlex Microscopy: Measuring Flexibility of Surface-Tethered Biomolecules

SurFlex microscopy quantifies flexibility of surface-tethered biomolecules using fluorescence anisotropy, revealing sequence-dependent DNA flexibility and changes in glycan flexibility on cell surfaces.

PKU tags, novel genetically encoded shape tags for cell labeling in light and electron microscopy

The paper introduces PKU tags, genetically encoded shape tags for cell labeling in light and electron microscopy, enabling multi-cell-type labeling and circuit tracing without altering behavior or transcriptomes.