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

Matuszewski, Damian J. (author)
Uppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab
Sintorn, Ida-Maria (author)
Uppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab
Puigvert, Jordi Carreras (author)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
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Wählby, Carolina (author)
Uppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab
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 (creator_code:org_t)
2016-07-01
2016
English.
In: Image Analysis And Recognition (ICIAR 2016). - Cham : Springer. ; , s. 623-630
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Keyword

Quantitative microscopy
DNA content histogram

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