ColiCoords
Cell analysis tool
A platform for analyzing fluorescence microscopy data from rodlike cells.
Single-cell fluorescence microscopy data analysis
26 stars
7 watching
8 forks
Language: Python
last commit: about 5 years agoLinked from 1 awesome list
fluorescence-microscopy-imagingmicroscopy
hallvaaw/awesome-biological-image-analysisRelated 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. | 58 |
 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 | 138 |
 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 | 1,270 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 celldynamics/quimp | Software for analyzing cell shape changes and dynamic distributions of fluorescent reporters at the cell membrane. | 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 | 100 |
 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 | 171 |
 oist/usiigaci | Automated cell tracking in phase contrast microscopy images using machine learning and computer vision techniques | 193 |