AutoGate's fully automated methods
Automate the classification and characterisation of flow cytometry data using full automation grounded on statistics, math and data science
* baselined version - limited updates going forward
+ recommended - regular updates and full support
RESULTS with AUTOMATED METHODS
COMPARISON OF AUTOMATED METHODS
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.
automated methods as a package
The engine behind AutoGate’s automated methods (MLP, UMAP, EPP) and UMAP function published at Mathworks File Exchange ,is available to be downloaded as an independent package
Samples gated and analysed in AutoGate can now be called into FlowJo using the plugin we have developed. Click link to download.
Users can now use their google drive account to storage and retrieve analysis results from AutoGate. Click link for details.
Using this package, up to date reagent information from all leading reagent manufactures can be viewed. Click here for more