Cytobank Automatic gating allows you to define a set of populations to be identified and the criteria for how they should be gated, faithfully replicating the manual analysis you would perform. The model can be trained for your own panel using your gating strategy on a small number of samples and applied to hundreds of files. Automatic gating can reduce the time needed for, and variability introduced by, manual gating.
In these videos, Dr. Nicole Weit – technical product manager here at Beckman Coulter Life Sciences – shows you:
How Automatic gating can improve your hypothesis-driven analysis
How to train a new Automatic gating model on the Cytobank platform
How to use a trained model to automatically analyze new data
How to evaluate the performance of an Automatic gating model and how to use the results
Cytobank Automatic Gating Resources
How to establish and evaluate machine learning-assisted automatic gating to improve reproducibility and reduce time spent on your flow cytometry data analysis.
Hypothesis-driven analysis of a 19-color deep immunophenotyping panel using automatic gating.
Cytobank Free Trial
Cytobank software is a cloud-based platform for the analysis, storage, and sharing of flow and mass cytometry data. It offers machine learning-assisted analysis of high-dimensional, single-cell data and is designed to let you easily collaborate with colleagues from different departments and regions from any web-enabled device.