Figure 1
Schematic of the ROI-Finder workflow for similar cell recommendations and prediction of cell states. The acquired coarse scan microscopy elemental maps are segmented and individual cell images are extracted. ROI-Finder uses PCA to extract features from individual cell images. The features are fed to a fuzzy k-means unsupervised clustering algorithm to train the model. The trained model is used to predict cell treatment types and recommended scan locations for automated steering of experiments. |