A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data

PloS One
Dennis PischelRobert J Flassig

Abstract

Imaging flow cytometry is a powerful experimental technique combining the strength of microscopy and flow cytometry to enable high-throughput characterization of cell populations on a detailed microscopic scale. This approach has an increasing importance for distinguishing between different cellular phenotypes such as proliferation, cell division and cell death. In the course of undergoing these different pathways, each cell is characterized by a high amount of properties. This makes it hard to filter the most relevant information for cell state discrimination. The traditional methods for cell state discrimination rely on dye based two-dimensional gating strategies ignoring information that is hidden in the high-dimensional property space. In order to make use of the information ignored by the traditional methods, we present a simple and efficient approach to distinguish biological states within a cell population based on machine learning techniques. We demonstrate the advantages and drawbacks of filter techniques combined with different classification schemes. These techniques are illustrated with two case studies of apoptosis detection in HeLa cells. Thereby we highlight (i) the aptitude of imaging flow cytometry regarding au...Continue Reading

References

Nov 5, 2003·Applied Optics·David W HahnVincenzo Palleschi
Aug 27, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Hanchuan PengChris Ding
Jul 3, 2007·PLoS Computational Biology·Adi L TarcaSorin Drăghici
Jul 31, 2007·Clinics in Laboratory Medicine·David A BasijiPhilip Morrissey
Aug 28, 2007·Bioinformatics·Yvan SaeysPedro Larrañaga
Nov 1, 2008·PLoS Computational Biology·Asa Ben-HurGunnar Rätsch
Dec 30, 2009·Biotechnology Progress·Li-Yeh ChuangCheng-Hong Yang
Mar 10, 2010·Molecular Systems Biology·Leo NeumannRoland Eils
Mar 13, 2012·Briefings in Bioinformatics·Wei-Jiun Lin, James J Chen
Feb 14, 2013·Methods : a Companion to Methods in Enzymology·Conor M HenrySeamus J Martin
Jan 23, 2014·Nature Immunology·Pratip K ChattopadhyayJ Christopher Love
May 31, 2014·Cell Death & Disease·I N Lavrik
Nov 25, 2014·National Science Review·Jianqing FanHan Liu
May 15, 2015·Journal of Immunological Methods·Jörn H SchmidtInna N Lavrik
Jul 4, 2015·Cancer Immunology Research·Tomoe HiguchiSarah F Adams
Jan 8, 2016·Nature Communications·Thomas BlasiPaul Rees
Mar 16, 2016·Scientific Reports·Claire Lifan ChenBahram Jalali
Jun 21, 2016·Nature Reviews. Immunology·Yvan SaeysBart N Lambrecht
Sep 7, 2016·Methods : a Companion to Methods in Enzymology·Holger HennigAndrew Filby

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Citations

Sep 27, 2018·PLoS Computational Biology·Jörn H BuchbinderInna N Lavrik
Aug 24, 2019·Radiation Oncology·Younghyun LeeHelen C Turner
Mar 4, 2021·International Journal of Molecular Sciences·Andrei S RodinPeter P Lee
May 28, 2021·NPJ Systems Biology and Applications·Yi LiLeonidas Bleris

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Methods Mentioned

BETA
flow cytometry
FCS
feature extraction

Software Mentioned

Zombie
MATLAB
MIM
IDEAS ImageStream Analysis
Aqua

Related Concepts

Related Feeds

Apoptosis

Apoptosis is a specific process that leads to programmed cell death through the activation of an evolutionary conserved intracellular pathway leading to pathognomic cellular changes distinct from cellular necrosis

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