Automated Method Results

In addition to AutoGate’s original semi-automatic gating, AutoGate in the last 3 years has acquired 5 fully automatic gating methods. Two methods are unsupervised: Exhaustive Projection Pursuit (EPP) and Uniform Manifold Approximation and Projection (UMAP). Three methods are supervised: multilayer perceptron (MLP) neural network based on MATLAB fitcnet; MLP based on Python TensorFlow and UMAP supervised templates.

Below is a comparison of the results with 7 publications based on average mass+distance similarity (QFMatch) and by overlap (F-measure)

Publication Details

#PublicationCytometerYear PublishedLink to Publication
1Omip-044
T cells, dendritic
 Conventional 
 (e.g., BD/Coulter)
 2018 OMIP-044
2Ghosn@Stanford
B cells, macrophages
 Conventional2010 Ghosn@Stanford
3O’Gorman@Genentech
Most lymphocytes
 CyTOF2019 O’Gorman@Genentech
4Maecker@Stanford
Most lymphocytes
 CyTOF2018 Maecker@Stanford 
5Omip-069
Most lymphocytes
 Spectral2020 OMIP-069
6Omip-047
B cells
 Conventional2018 OMIP-047
7Samusik@Stanford
Most lymphocytes
 CyTOF2016 Samusik@Stanford