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
| # | Publication | Cytometer | Year Published | Link to Publication |
|---|---|---|---|---|
| 1 | Omip-044 T cells, dendritic | Conventional (e.g., BD/Coulter) | 2018 | OMIP-044 |
| 2 | Ghosn@Stanford B cells, macrophages | Conventional | 2010 | Ghosn@Stanford |
| 3 | O’Gorman@Genentech Most lymphocytes | CyTOF | 2019 | O’Gorman@Genentech |
| 4 | Maecker@Stanford Most lymphocytes | CyTOF | 2018 | Maecker@Stanford |
| 5 | Omip-069 Most lymphocytes | Spectral | 2020 | OMIP-069 |
| 6 | Omip-047 B cells | Conventional | 2018 | OMIP-047 |
| 7 | Samusik@Stanford Most lymphocytes | CyTOF | 2016 | Samusik@Stanford |