A CytometryML table of contents that describes relationships between elements based upon DICOM and flow cytometry standard

Robert C. Leif; Stephanie H. Leif

doi:10.1117/12.879767

22 February 2011 A CytometryML table of contents that describes relationships between elements based upon DICOM and flow cytometry standard

Robert C. Leif, Stephanie H. Leif

Author Affiliations +

Proceedings Volume 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX; 790217 (2011) https://doi.org/10.1117/12.879767
Event: SPIE BiOS, 2011, San Francisco, California, United States

Abstract

CytometryML is an XML schema based translation, extension and amalgamation of the DICOM and ISAC standards. CytometryML consists of 4 major XML schemas: Series, Instance, Instrument, and Specimen; it also includes Image and List-Mode schemas. Series metadata, which is specific for an entire collection of images and/or list-mode files produced by a single instrument and derived from a single specimen, is stored together with associated metadata files in a container (ZIP) file. Each Instance container file includes binary image and/or list-mode files together with associated metadata files that are specific for a single or closely related group of instrument runs from a single specimen. The Archival Cytometry Standard (ACS) proposed Table of Contents schema including its Resource Description Framework (RDF) capabilities has been extended and modified for use in the Instance schema.

Citation Download Citation

Robert C. Leif and Stephanie H. Leif "A CytometryML table of contents that describes relationships between elements based upon DICOM and flow cytometry standard", Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 790217 (22 February 2011); https://doi.org/10.1117/12.879767

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