A data-centric flow/mass cytometry automated analysis framework

Spatially-resolved Transcriptomics via Epitope Anchoring

Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.

Pipeline for flow cytometry anlaysis

Cytometry analysis pipeline for large and complex datasets (CAPX) (beta)

HDStIM: High Dimensional Stimulation Immune Mapping

PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.

R scripts to use various flow cytometry analyses

Cytometry Biotechvana is a prototype of a Shiny application that allows an interactive workflow for flow cytometry data analysis.

Flow Cytometry analysis in R | Proteomics

Pipeline for the analysis of single-cell familial data from multiplex clonal assay

Autogating for gate 1 and gate 2 with U-Net.

Google Colab interface to HDStIM (High Dimensional Stimulation Immune Mapping)