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- Matuszewski, Damian J.Uppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab (author)
Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis
- Article/chapterEnglish2016
Publisher, publication year, extent ...
- 2016-07-01
- Cham :Springer,2016
- electronicrdacarrier
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- LIBRIS-ID:oai:DiVA.org:uu-307245
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-307245URI
- https://doi.org/10.1007/978-3-319-41501-7_70DOI
Supplementary language notes
- Language:English
- Summary in:English
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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 and genre
- NATURVETENSKAP Data- och informationsvetenskap Bioinformatik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Bioinformatics hsv//eng
- Quantitative microscopy
- DNA content histogram
Added entries (persons, corporate bodies, meetings, titles ...)
- Sintorn, Ida-MariaUppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab(Swepub:uu)idsin102 (author)
- Puigvert, Jordi CarrerasUppsala universitet,Science for Life Laboratory, SciLifeLab,Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden (author)
- Wählby, CarolinaUppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab(Swepub:uu)cli05194 (author)
- Uppsala universitetBildanalys och människa-datorinteraktion (creator_code:org_t)
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- In:Image Analysis And Recognition (ICIAR 2016)Cham : Springer, s. 623-630
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