scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
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DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Analysis of cell migration in Igor Pro
- igor
- imagej
- cell-migration
- tracking
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
gateway for segmentation data to Rstats & visualization with ggplot2 - in development
- visualization
- fluorescence-data
- ggplot
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images