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Best practices for instrument settings and raw data analysis in plant flow cytometry

P. Koutecký, T. Smith, J. Loureiro, P. Kron

. 2023 ; 103 (12) : 953-966. [pub] 20231008

Language English Country United States

Document type Journal Article, Review

Persistent link   https://www.medvik.cz/link/bmc24000435

Grant support
FCT/UIDB/04004/2020 Centro de Ecologia Funcional
RGPIN-2020-05652 Natural Sciences and Engineering Research Council of Canada
CENTRO-01-0145-FEDER-000020 Programa Operacional Regional do Centro

E-resources Online Full text

NLK Free Medical Journals from 2003 to 1 year ago
Medline Complete (EBSCOhost) from 2012-06-01 to 1 year ago
Wiley Free Content from 2003 to 1 year ago

Links

PubMed 37807676
DOI 10.1002/cyto.a.24798
Knihovny.cz E-resources

Flow cytometry (FCM) is now the most widely used method to determine ploidy levels and genome size of plants. To get reliable estimates and allow reproducibility of measurements, the methodology should be standardized and follow the best practices in the field. In this article, we discuss instrument calibration and quality control and various instrument and acquisition settings (parameters, flow rate, number of events, scales, use of discriminators, peak positions). These settings must be decided before measurements because they determine the amount and quality of the data and thus influence all downstream analyses. We describe the two main approaches to raw data analysis (gating and histogram modeling), and we discuss their advantages and disadvantages. Finally, we provide a summary of best practice recommendations for data acquisition and raw data analysis in plant FCM.

References provided by Crossref.org

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