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NeuroCyto Lab, INP CNRS-AMU UMR7051
- Marseille, France
- http://www.neurocytolab.org
- https://orcid.org/0000-0002-2957-2032
- @christlet.bsky.social
Stars
SoLo algorithm for resolution enhancement of fluorescence images and super-resolution reconstruction of SMLM/FF images
This repository contains the official source code for our paper, "Artifact-suppressed and adaptive self-inspired learning denoising for super-resolution fluorescence microscopy".
A curated list of resources for using LLMs to develop more competitive grant applications.
A universal fluorescence microscopic image restoration algorithm
A toolkit designed to correct image distortion and drift, specifically for expansion microscopy (ExM)
Data Set and Code For Fluorescence anisotropy structured illumination microscopy for quantitative super-resolution mapping of subcellular microenvironments and cytoskeletal dynamics
Fast and generalizable blind-SIM reconstruction using an unrolled neural network
EPI-TIRF cross-modality Network enables background subtraction and axial super-resolution for widefield fluorescence microscopy
Fast and Accurate 3D PSF Computation for Fluorescence Microscopy
A fluorescence microscopy image deconvolution algorithm based on kernel learned from data
STORM microscopy neural network for Z-value regression
Flow-Registration toolbox for 2P motion compensation
CUDA-accelerated 3D BioImage Computing (ICCV BIC 2025)
Data augmentation and denoising for fluorescence microscopy with physics-based modeling
browsing large volumetric data and shapes
imagej plugin for kymographs with key framing and interpolation
Matlab code for tracking edge of cell and extracting dynamic kymographs
Confocal image processing scripts written by Jim Rowe
Self-adaptive fine-tuning of deep learning super-resolution microscopy for artifact suppression in live-cell imaging
SSR-SIM: Bio-friendly and high-precision super-resolution imaging through self-supervised reconstruction structured illumination microscopy
SR-Wiki / SN2N
Forked from WeisongZhao/SN2NOfficial PyTorch implementation of the "SN2N"
An integrated software suite for quality-controlled augmented quantitative structured illumination microscopy.
Interactive imaging viewer for multi-channel time-series microscopy data