Advanced Fluorescence Microscopy Techniques

Label-free, fast, 2-photon volume imaging of the structural organization of peripheral neurons and glia in the enteric ganglia

This paper develops a fast, label-free 3-D imaging method to study the structural organization of the enteric nervous system in mouse intestine.

Global fitting for high-accuracy multi-channel single-molecule localization

This paper introduces globLoc, a GPU-based global fitting algorithm for multi-channel single-molecule localization, improving 3D precision and color assignment in SMLM.

Recording large-scale, cellular-resolution neuronal activity from freely-moving mice

This paper introduces a method to record single-cell cortical activity from freely-moving mice using CaMPARI, revealing task-dependent activity patterns in motor and somatosensory cortices.

Minian: An open-source miniscope analysis pipeline

Minian is an open-source pipeline for analyzing single-photon in vivo calcium imaging data, offering low memory usage, interactive visualizations, and parameter exploration tools.

A fluorescent nanosensor paint reveals the heterogeneity of dopamine release from neurons at individual release sites

This study uses a fluorescent nanosensor paint to show that dopamine release from individual varicosities is highly heterogeneous and requires molecular priming.

Imaging unlabeled axons in the mouse retina by second harmonic generation

This paper introduces a method to image unlabeled axons in the mouse retina using second harmonic generation (SHG) and demonstrates its application in studying glaucoma.

3D molecular phenotyping of cleared human brain tissues with light-sheet fluorescence microscopy

This paper develops a method to 3D molecularly characterize cleared human brain tissues using light-sheet fluorescence microscopy.

Joint Registration of Multiple Point Clouds for Fast Particle Fusion in Localization Microscopy

The paper introduces a fast particle fusion method for single-molecule localization microscopy that reduces computational cost from N² to linear scaling by using joint registration of multiple point clouds.

ReCSAI Recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy

The paper introduces ReCSAI, a compressed sensing neural network for confocal dSTORM that improves reconstruction speed and accuracy by combining deep learning and compressed sensing.

Characterization of red fluorescent reporters for dual-color in vivo three-photon microscopy

The paper evaluates tdTomato and mScarlet fluorescent proteins for dual-color three-photon microscopy in the mouse brain, finding high signal-to-background in specific wavelength ranges.

Exploiting threonine sidechains as molecular switches to modulate the fluorescence of genetically encoded biosensors

The paper develops a novel GEVI that brightens upon depolarization by manipulating threonine sidechains to control chromophore conformation and fluorescence transitions.

Long-term in vivo imaging of mouse spinal cord through an optically cleared intervertebral window

This paper develops an optically cleared intervertebral window for long-term, high-resolution, inflammation-free in vivo imaging of mouse spinal cord dynamics.

pixOL: pixel-wise dipole-spread function engineering for simultaneously measuring the 3D orientation and 3D localization of dipole-like emitters

The paper introduces pixOL, a method that improves the precision of measuring 3D orientation and localization of fluorescent molecules using engineered dipole-spread functions.

Fast and flexible processing of large FRET image stacks using the FRET-IBRA toolkit

FRET-IBRA processes large FRET image stacks with flexibility and speed, providing accurate ratio images and background correction while maintaining high signal-to-noise ratio.

Genetically encoded sensors for analysing neurotransmission among synaptically-connected neurons

The paper introduces a method to visualize neurotransmission at synapses using split protein sensors, demonstrating functionality in cultured cells, worms, and mouse brains.

High-Resolution, Large Imaging Volume, and Multi-View Single Objective Light-Sheet Microscopy

This paper introduces a novel single objective light-sheet microscope that achieves high resolution, large field of view, and multi-view imaging for various biological systems.

Large-scale two-photon calcium imaging in freely moving mice

This paper introduces a lightweight two-photon microscope for imaging over 1,000 neurons in freely moving mice, enabling large-scale calcium imaging with high resolution and minimal behavioral disruption.

A miniature kinematic coupling device for mouse head fixation

This paper develops a miniature kinematic coupling device for mice to enable precise repositioning during chronic neuroscience experiments.

Voltage imaging using transgenic mouse lines expressing the GEVI ArcLight in two olfactory cell types

This study develops and validates transgenic mouse lines expressing the GEVI ArcLight in specific olfactory cell types for in vivo voltage imaging of odorant responses.

An evaluation of resonant scanning as a high-speed imaging technique for two-photon imaging of cortical vasculature

This study evaluates resonant scanning as a high-speed imaging technique for two-photon imaging of cortical vasculature in mice, comparing it to galvo-galvo scanning in terms of signal-to-noise ratio and imaging speed.

Structure based analysis of protein cluster size for super-resolution microscopy in the nervous system

The paper introduces a structure-based analysis method for super-resolution microscopy to improve the accuracy of size estimation of nanoscale structures in the nervous system.

Multi-view confocal microscopy enables multiple organ and whole organism live-imaging

The paper introduces MuViScopy, a multi-view confocal microscopy technique for live-imaging multiple organs and whole organisms without embedding, demonstrating its use in Drosophila pupal development.

Long-term two-photon imaging of spinal cord in freely behaving mice

This study develops a method for long-term two-photon imaging of the spinal cord in freely behaving mice, revealing sensorimotor synchronization and plasticity changes in neuropathic pain.

Single Image-based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy

The paper introduces a vignetting correction protocol for 2-photon microscopy images to improve consistency in neural activity analysis.

Revisiting PFA-mediated tissue fixation chemistry: FixEL enables trapping of small molecules in the brain to visualize their distribution dynamics

The paper introduces FixEL, a method to trap and image small molecules in brain tissue, enabling visualization of their distribution and dynamics.

All-optical imaging and patterned stimulation with a one-photon endoscope

The paper introduces a new system for simultaneous calcium imaging and optogenetic stimulation in freely moving mice, demonstrating its ability to image and activate specific neurons and recreate behavior.

Rapid Directed Molecular Evolution of Fluorescent Proteins in Mammalian Cells

This paper describes a method for rapidly optimizing fluorescent proteins in mammalian cells, resulting in enhanced near-infrared fluorescent proteins with improved intracellular brightness and multicolor imaging capabilities.

High-speed, multi-Z confocal microscopy for voltage imaging in densely labeled neuronal populations

The paper develops a high-speed, multi-Z confocal microscope to improve voltage imaging in densely labeled neuronal populations by increasing contrast and speed.

A genetically encoded fluorescent biosensor for extracellular L-lactate

This paper develops a genetically encoded fluorescent biosensor for extracellular L-lactate and demonstrates its use in imaging in cultured mammalian cells and brain tissue.

A Bayesian nonparametric approach to super-resolution single-molecule localization

This paper introduces a Bayesian nonparametric framework for identifying individual molecules in super-resolution microscopy time series, using ground-truth data to assess performance.