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Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Science for Life Laboratory, SciLifeLab. Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
2016 (English)In: Image Analysis And Recognition (ICIAR 2016) / [ed] Aurélio Campilho, Fakhri Karray, Springer, 2016, Vol. 9730, 623-630 p.Conference paper (Refereed)
Abstract [en]

Quantitative cell state measurements can provide a wealth of information about mechanism of action of chemical compounds and gene functionality. Here we present a comparison of cell cycle disruption measurements from commonly used flow cytometry (generating onedimensional signal data) and bioimaging (producing two-dimensional image data). Our results show high correlation between the two approaches indicating that image-based screening can be used as an alternative to flow cytometry. Furthermore, we discuss the benefits of image informatics over conventional single-signal flow cytometry.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 9730, 623-630 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9730
Keyword [en]
Quantitative microscopy, DNA content histogram
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:uu:diva-307245DOI: 10.1007/978-3-319-41501-7_70ISI: 000386604000070OAI: oai:DiVA.org:uu-307245DiVA: diva2:1045954
Conference
13th International Conference, ICIAR 2016, in Memory of Mohamed Kamel, Póvoa de Varzim, Portugal, July 13-15, 2016
Available from: 2016-11-11 Created: 2016-11-11 Last updated: 2017-02-01Bibliographically approved

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Matuszewski, Damian J.Sintorn, Ida-MariaWählby, Carolina
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Computerized Image Analysis and Human-Computer InteractionScience for Life Laboratory, SciLifeLab
Bioinformatics (Computational Biology)

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Citation style
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