Data Note: Flow cytometry data standards
2011
New Standards for Flow Cytometry Data
publication
Evidence: moderate
Author Information
Author(s): Josef Spidlen, Parisa Shooshtari, Tobias R. Kollmann, Ryan R. Brinkman
Primary Institution: Terry Fox Laboratory, BC Cancer Agency, Vancouver, BC, Canada
Conclusion
The new flow cytometry data standards will enhance scientific collaboration and data reuse.
Supporting Evidence
- The new standards include MIFlowCyt for minimal reporting of flow cytometry experiments.
- Gating-ML allows for standardized descriptions of cell population selection.
- The Classification Results File Format captures results of automated clustering.
Takeaway
This study introduces new rules for how scientists should share and analyze flow cytometry data, making it easier for others to understand and use.
Methodology
The study discusses the development of new data standards for flow cytometry, including MIFlowCyt, Gating-ML, and Classification Results File Format.
Limitations
The lack of a public repository for flow cytometry data limits efficient reuse.
Digital Object Identifier (DOI)
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