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Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis

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Image Analysis and Recognition (ICIAR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9730))

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Abstract

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 one-dimensional 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.

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Authors and Affiliations

  1. Science for Life Laboratory, Uppsala, Sweden

    Damian J. Matuszewski, Ida-Maria Sintorn, Jordi Carreras Puigvert & Carolina Wählby

  2. Department of Information Technology, Centre for Image Analysis, Uppsala University, Uppsala, Sweden

    Damian J. Matuszewski, Ida-Maria Sintorn & Carolina Wählby

  3. Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden

    Jordi Carreras Puigvert

Authors
  1. Damian J. Matuszewski
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  2. Ida-Maria Sintorn
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  3. Jordi Carreras Puigvert
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  4. Carolina Wählby
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Corresponding author

Correspondence to Damian J. Matuszewski .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical, University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

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Matuszewski, D.J., Sintorn, IM., Puigvert, J.C., Wählby, C. (2016). Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_70

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  • DOI: https://doi.org/10.1007/978-3-319-41501-7_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41500-0

  • Online ISBN: 978-3-319-41501-7

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