Literature DB >> 12820121

CytometryML, an XML format based on DICOM and FCS for analytical cytology data.

Robert C Leif1, Suzanne B Leif, Stephanie H Leif.   

Abstract

BACKGROUND: Flow Cytometry Standard (FCS) was initially created to standardize the software researchers use to analyze, transmit, and store data produced by flow cytometers and sorters. Because of the clinical utility of flow cytometry, it is necessary to have a standard consistent with the requirements of medical regulatory agencies.
METHODS: We extended the existing mapping of FCS to the Digital Imaging and Communications in Medicine (DICOM) standard to include list-mode data produced by flow cytometry, laser scanning cytometry, and microscopic image cytometry. FCS list-mode was mapped to the DICOM Waveform Information Object. We created a collection of Extensible Markup Language (XML) schemas to express the DICOM analytical cytologic text-based data types except for large binary objects. We also developed a cytometry markup language, CytometryML, in an open environment subject to continuous peer review.
RESULTS: The feasibility of expressing the data contained in FCS, including list-mode in DICOM, was demonstrated; and a preliminary mapping for list-mode data in the form of XML schemas and documents was completed. DICOM permitted the creation of indices that can be used to rapidly locate in a list-mode file the cells that are members of a subset. DICOM and its coding schemes for other medical standards can be represented by XML schemas, which can be combined with other relevant XML applications, such as Mathematical Markup Language (MathML).
CONCLUSIONS: The use of XML format based on DICOM for analytical cytology met most of the previously specified requirements and appears capable of meeting the others; therefore, the present FCS should be retired and replaced by an open, XML-based, standard CytometryML. Copyright 2003 Wiley-Liss, Inc.

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Mesh:

Year:  2003        PMID: 12820121     DOI: 10.1002/cyto.a.10043

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


  2 in total

Review 1.  Data standards for flow cytometry.

Authors:  Josef Spidlen; Robert C Gentleman; Perry D Haaland; Morgan Langille; Nolwenn Le Meur; Michael F Ochs; Charles Schmitt; Clayton A Smith; Adam S Treister; Ryan R Brinkman
Journal:  OMICS       Date:  2006

2.  FuGEFlow: data model and markup language for flow cytometry.

Authors:  Yu Qian; Olga Tchuvatkina; Josef Spidlen; Peter Wilkinson; Maura Gasparetto; Andrew R Jones; Frank J Manion; Richard H Scheuermann; Rafick-Pierre Sekaly; Ryan R Brinkman
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169

  2 in total

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