Literature DB >> 32881398

Data File Standard for Flow Cytometry, Version FCS 3.2.

Wayne Moore1, David Parks2, Josef Spidlen3, Michael Goldberg4, Kim Blenman5, James S Cavenaugh6, Ryan Brinkman7,8,9.   

Abstract

FCS 3.2 is a revision of the flow cytometry data standard based on a decade of suggested improvements from the community as well as industry needs to capture instrument conditions and measurement features more precisely. The unchanged goal of the standard is to provide a uniform file format that allows files created by one type of acquisition hardware and software to be analyzed by any other type. The standard retains the overall FCS file structure and most features of previous versions, but also contains a few changes that were required to support new types of data and use cases efficiently. These changes are incompatible with existing FCS file readers. Notably, FCS 3.2 supports mixed data types to, for example, allow FCS measurements that are intrinsically integers (e.g., indices or class assignments) or measurements that are commonly captured as integers (e.g., time ticks) to be more represented as integer values, while capturing other measurements as floating-point values in the same FCS data set. In addition, keywords explicitly specifying dyes, detectors, and analytes were added to avoid having to extract those heuristically and unreliably from measurement names. Types of measurements were formalized, several keywords added, others removed, or deprecated, and various aspects of the specification were clarified. A reference implementation of the cyclic redundancy check (CRC) calculation is provided in two programming languages since a correct CRC implementation was problematic for many vendors.
© 2020 International Society for Advancement of Cytometry. © 2020 International Society for Advancement of Cytometry.

Entities:  

Keywords:  FCS; FCS 3.2; bioinformatics; data standard; file format; flow cytometry

Mesh:

Year:  2020        PMID: 32881398      PMCID: PMC8241566          DOI: 10.1002/cyto.a.24225

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  6 in total

1.  MIFlowCyt: the minimum information about a Flow Cytometry Experiment.

Authors:  Jamie A Lee; Josef Spidlen; Keith Boyce; Jennifer Cai; Nicholas Crosbie; Mark Dalphin; Jeff Furlong; Maura Gasparetto; Michael Goldberg; Elizabeth M Goralczyk; Bill Hyun; Kirstin Jansen; Tobias Kollmann; Megan Kong; Robert Leif; Shannon McWeeney; Thomas D Moloshok; Wayne Moore; Garry Nolan; John Nolan; Janko Nikolich-Zugich; David Parrish; Barclay Purcell; Yu Qian; Biruntha Selvaraj; Clayton Smith; Olga Tchuvatkina; Anne Wertheimer; Peter Wilkinson; Christopher Wilson; James Wood; Robert Zigon; Richard H Scheuermann; Ryan R Brinkman
Journal:  Cytometry A       Date:  2008-10       Impact factor: 4.355

2.  Data File Standard for Flow Cytometry, version FCS 3.1.

Authors:  Josef Spidlen; Wayne Moore; David Parks; Michael Goldberg; Chris Bray; Pierre Bierre; Peter Gorombey; Bill Hyun; Mark Hubbard; Simon Lange; Ray Lefebvre; Robert Leif; David Novo; Leo Ostruszka; Adam Treister; James Wood; Robert F Murphy; Mario Roederer; Damir Sudar; Robert Zigon; Ryan R Brinkman
Journal:  Cytometry A       Date:  2010-01       Impact factor: 4.355

3.  Proposed new data file standard for flow cytometry, version FCS 3.0.

Authors:  L C Seamer; C B Bagwell; L Barden; D Redelman; G C Salzman; J C Wood; R F Murphy
Journal:  Cytometry       Date:  1997-06-01

4.  A proposal for a flow cytometric data file standard.

Authors:  R F Murphy; T M Chused
Journal:  Cytometry       Date:  1984-09

5.  Robust FCS Parsing: Exploring 211,359 Public Files.

Authors:  Anne E Bras; Vincent H J van der Velden
Journal:  Cytometry A       Date:  2020-07-15       Impact factor: 4.355

6.  ISAC Probe Tag Dictionary: Standardized Nomenclature for Detection and Visualization Labels Used in Cytometry and Microscopy Imaging.

Authors:  Kim R M Blenman; Josef Spidlen; David R Parks; Wayne Moore; Adam Treister; Robert Leif; Chris Bray; Michael Goldberg; Ryan Brinkman
Journal:  Cytometry A       Date:  2020-09-16       Impact factor: 4.355

  6 in total
  1 in total

Review 1.  The Evolution of Single-Cell Analysis and Utility in Drug Development.

Authors:  Shibani Mitra-Kaushik; Anita Mehta-Damani; Jennifer J Stewart; Cherie Green; Virginia Litwin; Christèle Gonneau
Journal:  AAPS J       Date:  2021-08-13       Impact factor: 4.009

  1 in total

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