Fig. 8.

Single cell photonics of all cells identifies S100β resident vascular stem cells and their myogenic progeny within ligated vessels using an LDA classifier. (a). Confusion matrix of true class and predicted class of all cells following a leave-one-outcross-validation procedure by the LDA classifier. The LDA algorithm was trained using single cell photonic analysis from (i) sham cells, (ii) aortic SMCs, (iii) Movas SMCs, (iv) J774A.1 macrophages, (v) Ramos B cells, (vi) MSCs and their myogenic progeny, (vii) S100β mVSc and their myogenic progeny. Data are from 885 cells (b). Percentage of cells in sham vessels using the LDA classifier when trained with all cells. Data are from 178 cells. (c). Percentage of cells in ligated vessels using the LDA classifier when trained with all cells. Data are from 178 cells (d). Graphic representation of percentage of cells in sham and ligated vessels when trained with all cells using the LDA classifier