Cell States

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This application helps predict the cell states (live or apoptotic) using forward (FSC) and side (SSC) scatter flow cytometry information. The input file (.csv format) shall contain readings from six (6) FSC/SSC features (FSC-A, FSC-H, FSC-W, SSC-A, SSC-H, and SSC-W). A sample file can be found here.

Next, the user can choose from one of the three popular machine learning algorithms (random forest, k-nearest beighbors, and multilayer perceptron). The output file (.csv format) contains predicted cell state (0 denotes live, and 1 denotes apoptotic).

For reference, please cite: Cell morphology-based machine learning models for human cell state classification. NPJ System Biology and Applications (2021)