cytominer-database
Data organizer
A package for organizing and storing morphological profiling data from microscopy images.
[DEPRECATED] A package for storing morphological profiling data.
10 stars
3 watching
12 forks
Language: Python
last commit: about 1 month ago
Linked from 1 awesome list
databasemicroscopyprofiling
Related projects:
Repository | Description | Stars |
---|---|---|
cytomining/cytominer | Software for preprocessing and analyzing large cell profiling datasets | 49 |
cytomining/pycytominer | A Python package for processing high-dimensional data from microscopy imaging experiments | 80 |
schmollerlab/cell_acdc | A Python framework for analyzing and annotating microscopy data | 133 |
bodenmillergroup/histocat | An interactive analysis toolbox for multiplexed image cytometry data | 1 |
chesvectain/packingdata | A tool for organizing and managing data for packing purposes | 11 |
celldynamics/quimp | Software for analyzing cellular shape changes and fluorescent reporter distributions in real-time | 7 |
markrobinsonuzh/cytofworkflow | A pipeline for differential analysis of high-throughput cytometry data | 14 |
imageomics/bioclip | A deep learning framework trained on a large biological image dataset to learn taxonomic labels and classify images. | 164 |
eiriniar/cellcnn | A Python-based software framework for analyzing mass/flow cytometry data to identify phenotype-associated cell subsets. | 65 |
computational-cell-analytics/micro-sam | A tool for interactive microscopy image segmentation and tracking. | 365 |
cellprofiler/cellprofiler-analyst | A tool for exploring and analyzing large biological image sets to identify complex phenotypes | 146 |
qile0317/apackoftheclones | Software package to visualize clonal expansion in single-cell immune repertoire data | 14 |
mahmoud/glom | Provides a declarative way to handle nested data structures in Python | 1,917 |
brainglobe/cellfinder | Automated 3D cell detection tool for large images in microscopy and neuroscience research | 181 |
aertslab/scope | A tool for fast visualization of large-scale single-cell data | 68 |