Because of the differences in the requirements, needs, and past histories including existing standards of the creating organizations,
a single encompassing cytology-pathology standard will not, in the near future, replace the multiple existing or
under development standards. Except for DICOM and FCS, these standardization efforts are all based on XML. CytometryML
is a collection of XML schemas, which are based on the Digital Imaging and Communications in Medicine
(DICOM) and Flow Cytometry Standard (FCS) datatypes. The CytometryML schemas contain attributes that link them to
the DICOM standard and FCS. Interoperability with DICOM has been facilitated by, wherever reasonable, limiting the
difference between CytometryML and the previous standards to syntax. In order to permit the Resource Description
Framework, RDF, to reference the CytometryML datatypes, id attributes have been added to many CytometryML elements.
The Laboratory Digital Imaging Project (LDIP) Data Exchange Specification and the Flowcyt standards development
effort employ RDF syntax. Documentation from DICOM has been reused in CytometryML. The unity of analytical
cytology was demonstrated by deriving a microscope type and a flow cytometer type from a generic cytometry instrument
type. The feasibility of incorporating the Flowcyt gating schemas into CytometryML has been demonstrated. CytometryML
is being extended to include many of the new DICOM Working Group 26 datatypes, which describe patients, specimens,
and analytes. In situations where multiple standards are being created, interoperability can be facilitated by
employing datatypes based on a common set of semantics and building in links to standards that employ different syntax.