Literature DB >> 8809477

Standardizing flow cytometry: construction of a standardized fluorescence calibration plot using matching spectral calibrators.

A Schwartz1, E Fernández Repollet, R Vogt, J W Gratama.   

Abstract

Calibration of flow cytometers is becoming an increasingly important issue for both quality control of instrument performance and quantitation of antibody binding capacity of cells. Due to the numerous different instruments and analysis software currently available, a standardized method of calibration is necessary if interlaboratory comparison of instrument performance and antibody binding is to be achieved. This report describes a new methodology to obtain a standard calibration plot that can be derived from all instruments and from which specific instrument-independent performance parameters may be calculated that can be used to directly compare the performance and setup of these instruments. The requirements that the calibrated standards must meet are discussed, as well as the acceptable ranges proposed for the instrument-independent performance parameters. In addition, data are presented from standard calibration plots generated by different flow cytometers in numerous laboratories. The corresponding Primary Performance Parameters calculated from these plots are presented and compared. It is expected that the use of this calibration method may help standardize flow cytometric measurements and will provide instrument-independent performance parameters to monitor quality control of instruments and reagents.

Mesh:

Year:  1996        PMID: 8809477     DOI: 10.1002/(SICI)1097-0320(19960315)26:1<22::AID-CYTO4>3.0.CO;2-I

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  18 in total

1.  Traceability in fluorometry: Part II. Spectral fluorescence standards.

Authors:  U Resch-Genger; D Pfeifer; C Monte; W Pilz; A Hoffmann; M Spieles; K Rurack; J Hollandt; D Taubert; B Schönenberger; P Nording
Journal:  J Fluoresc       Date:  2005-05       Impact factor: 2.217

2.  Variables affecting the quantitation of CD22 in neoplastic B cells.

Authors:  Gregory A Jasper; Indu Arun; David Venzon; Robert J Kreitman; Alan S Wayne; Constance M Yuan; Gerald E Marti; Maryalice Stetler-Stevenson
Journal:  Cytometry B Clin Cytom       Date:  2010-09-24       Impact factor: 3.058

3.  Targeting microspheres and cells to polyethylene glycol-modified biological surfaces.

Authors:  Timothy E Deglau; Jermaine D Johnson; Flordeliza S Villanueva; William R Wagner
Journal:  J Biomed Mater Res A       Date:  2007-06-01       Impact factor: 4.396

4.  Quality assurance for polychromatic flow cytometry using a suite of calibration beads.

Authors:  Stephen P Perfetto; David Ambrozak; Richard Nguyen; Pratip K Chattopadhyay; Mario Roederer
Journal:  Nat Protoc       Date:  2012-11-08       Impact factor: 13.491

5.  A whole-blood assay for qualitative and semiquantitative measurements of CD69 surface expression on CD4 and CD8 T lymphocytes using flow cytometry.

Authors:  L C Lim; M N Fiordalisi; J L Mantell; J L Schmitz; J D Folds
Journal:  Clin Diagn Lab Immunol       Date:  1998-05

6.  Variables in the quantification of CD4 in normals and hairy cell leukemia patients.

Authors:  Lili Wang; Fatima Abbasi; Gregory A Jasper; Robert J Kreitman; David J Liewehr; Gerald E Marti; Maryalice Stetler-Stevenson
Journal:  Cytometry B Clin Cytom       Date:  2011-01       Impact factor: 3.058

7.  Metal-Containing Polystyrene Beads as Standards for Mass Cytometry.

Authors:  Ahmed I Abdelrahman; Olga Ornatsky; Dmitry Bandura; Vladimir Baranov; Robert Kinach; Sheng Dai; Stuart C Thickett; Scott Tanner; Mitchell A Winnik
Journal:  J Anal At Spectrom       Date:  2010       Impact factor: 4.023

8.  Standardized method to minimize variability in a functional P2X(7) flow cytometric assay for a multi-center clinical trial.

Authors:  N L Korpi-Steiner; D Sheerar; E B Puffer; C Urben; J Boyd; A Guadarrama; K Schell; L C Denlinger
Journal:  Cytometry B Clin Cytom       Date:  2008-09       Impact factor: 3.058

9.  FlowCal: A User-Friendly, Open Source Software Tool for Automatically Converting Flow Cytometry Data from Arbitrary to Calibrated Units.

Authors:  Sebastian M Castillo-Hair; John T Sexton; Brian P Landry; Evan J Olson; Oleg A Igoshin; Jeffrey J Tabor
Journal:  ACS Synth Biol       Date:  2016-05-12       Impact factor: 5.110

10.  Fluorescence intensity normalisation: correcting for time effects in large-scale flow cytometric analysis.

Authors:  Calliope A Dendrou; Erik Fung; Laura Esposito; John A Todd; Linda S Wicker; Vincent Plagnol
Journal:  Adv Bioinformatics       Date:  2009-11-17
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