20 February 2018 CytometryML with DICOM and FCS
Author Affiliations +
Abstract
Abstract: Flow Cytometry Standard, FCS, and Digital Imaging and Communications in Medicine standard, DICOM, are based on extensive, superb domain knowledge, However, they are isolated systems, do not take advantage of data structures, require special programs to read and write the data, lack the capability to interoperate or work with other standards and FCS lacks many of the datatypes necessary for clinical laboratory data. The large overlap between imaging and flow cytometry provides strong evidence that both modalities should be covered by the same standard.

Method: The XML Schema Definition Language, XSD 1.1 was used to translate FCS and/or DICOM objects. A MIFlowCyt file was tested with published values.

Results: Previously, a significant part of an XML standard based upon a combination of FCS and DICOM has been implemented and validated with MIFlowCyt data. Strongly typed translations of FCS keywords have been constructed in XML. These keywords contain links to their DICOM and FCS equivalents.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert C. Leif, "CytometryML with DICOM and FCS", Proc. SPIE 10497, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVI, 104970O (20 February 2018); doi: 10.1117/12.2295220; https://doi.org/10.1117/12.2295220
PROCEEDINGS
7 PAGES + PRESENTATION

SHARE
Back to Top