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Why flow cytometry gating is a machine learning problem worth solving

Why flow cytometry gating is a machine learning problem worth solving

by Lars-Eric | Apr 30, 2026 | News

TL;DR Flow cytometry gating is still manual, variable, and difficult to scale. Static rules struggle with experimental variability, which makes them hard to maintain in practice. Machine learning allows gating strategies to be learned from expert data and applied...
DataChaperone successfully completes independent graybox penetration test

DataChaperone successfully completes independent graybox penetration test

by Lars-Eric | Feb 27, 2026 | News

Data security and platform integrity are central to the DataChaperone architecture. As part of our continuous improvement process, we recently commissioned an independent graybox penetration test of the DataChaperone platform. The assessment was performed by Hackify,...
DataChaperone partners with SciSure to deliver automated analysis directly in your ELN.

DataChaperone partners with SciSure to deliver automated analysis directly in your ELN.

by Lars-Eric | Jan 16, 2026 | News

SciSure and DataChaperone serve many of the same teams: scientists working in regulated or quality-conscious environments, where reproducibility, traceability, and scalability matter. In this partnership, the two platforms remain clearly complementary. SciSure focuses...

Recent Posts

  • Why flow cytometry gating is a machine learning problem worth solving
  • DataChaperone successfully completes independent graybox penetration test
  • DataChaperone partners with SciSure to deliver automated analysis directly in your ELN.
  • Why scientific software is being rebuilt from the inside out
  • DataChaperone presents at AI in life sciences

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