ColiCoords

Cell analysis tool

An open-source Python project for analyzing fluorescence microscopy data from rodlike cells.

Single-cell fluorescence microscopy data analysis

GitHub

26 stars
7 watching
8 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list

fluorescence-microscopy-imagingmicroscopy

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
flika-org/flika An interactive image processing tool for analyzing biological microscopy images 22
fish-quant/big-fish A toolbox for analyzing microscopy images of cells labeled with single-molecule fluorescent in situ hybridization (smFISH) tags. 57
rraadd88/htsimaging A Python package for analyzing high-throughput single-cell imaging data 5
schmollerlab/cell_acdc A Python framework for analyzing and annotating microscopy data 133
pachterlab/cwgflhgcchap_2021 Analyzing multiplexed single-cell RNA-seq data from a marine organism, providing tools for preprocessing, clustering, and analysis of gene expression across different cell types. 2
iosonofabio/singlet Analyzes single cell RNA sequence data with quantitative phenotypes 13
cbib/dypfish A Python library for statistical analysis of mRNA and protein distributions in single cell confocal images 2
scverse/scvi-tools Probabilistic analysis tools for single-cell omics data 1,251
zjufanlab/sccatch Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes 218
celldynamics/quimp Software for analyzing cellular shape changes and fluorescent reporter distributions in real-time 7
sentinal4d/cellshape Analyzes 3D cell shape features using deep learning for cancer research 21
zjufanlab/scdeepsort A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning 99
hms-dbmi/scde Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. 173
kharchenkolab/numbat Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells 166
oist/usiigaci Automated cell tracking in phase contrast microscopy images using machine learning and computer vision techniques 193