Gating-ML
ISAC Candidate Recommendation for representing gating descriptions in flow cytometry
Summary
Gating in flow cytometry is a well known and highly important process for selecting populations of interests by defining the characteristics of particles for further data acquisition or analysis. It may also be used for sorting purposes, e.g., for distinguishing among multiple heterogonous populations in a single sample.
Gating-ML represents a proposal on how to form unambiguous XML-based gate definitions that can facilitate the interchange and validation of data between different software packages. The specification currently supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates.
Document Status
Gating-ML has undergone several revisions since the first public release in February 2006. At this point, the International Society for Analytical Cytology (ISAC) Data Standards Task Force (ISAC DSTF) is satisfied that the specification serves its purpose, and has released it as a Candidate Recommendation to the ISAC membership and other interested parties. At this stage, third party implementations are encouraged and feedback from the community, especially implementors is welcome. While the specification may slightly change further in the future, significant features and design aspects will likely remain unchanged.
Download
Please download all the components of the standard at Flowcyt Sourceforge web site.