Organoid Localization and Quantification Using Deep Convolutional Neural Networks
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Updated
Jan 22, 2022 - Python
Organoid Localization and Quantification Using Deep Convolutional Neural Networks
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.
Organoid Analyzing Tools (OAT) is a package that allow you to analyze organoids dynamics.
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