FIG. 2.

Single-cell computational classification of breast cell lines: MCF-10A and MDA-MB-231. (a) The t-SNE plot of two breast cell lines. (b) Examples of color bright-field images of individual MCF-10A and MDA-MB-231 cells. Cells are imaged just after incubation with BTB using a 40× objective. (c) Evaluation results of the models using 10-fold cross-validation. AUC = Area Under the Curve; CA = classification accuracy. The table is sorted based on the scoring values of CA and precision. (d) Confusion matrix of the logistic regression model, which best scored in the classification. (e) Receiver operating characteristic (ROC) curves for each cell line using logistic regression. The size of each sample is N = 157 for MCF-10A and N = 152 for MDA-MB-231.