Figure 5
From: AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses
Comparison of various methods (colors and style) to measure dead over time (x/y axes) and temperature (A-H). CFU derivations are population based measures of death, Sytox stained are cell based proxy measurements of death, and AutoGater are predictions from the neural network that use a weakly supervised approach to refine condition labels of death with those of CFUs. In this case, the live label was the final time point at 25° 30°, 35 °C, while the death label was the final time point at 55° and 65 °C. AutoGater is able to learn a method to tag dead cells that combines the cell based measurements and population based measurements. This is best observed in panel (F).
