Jacob Frelinger
Duke University

Adam Richards
Duke University

Cliburn Chan
Duke University

Abstract

Flow cytometry has the ability to measure multiple parameters of a heterogeneous mix of cells at single cell resolution. This has lead flow cytometry to become an integral tool in immunology and biology. Most flow cytometry analysis is performed in expensive proprietary software packages, and few opensource tool exist for working with flow cytometry data. In this paper we present fcm, an BSD licensed python library for traditional gating based analysis in addition to newer model based analysis methods.

Keywords

Flow Cytometry, Model-based Analysis, Automation, Biology, Immunology

DOI

10.25080/Majora-54c7f2c8-008

Bibtex entry

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Copyright © 2012 Jacob Frelinger et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.