Segmentation and Tracking of Adherens Junctions in 3D for the Analysis of Epithelial Tissue Morphogenesis
Fig 4
Performance assessment of the automated detection of vertices, cell-cell contacts and cell tracks.
A-D) Evaluation of the vertex detector, E-H) edge detector, and I-J) cell tracker. C-D), G-H) Green—true detections, blue—missed detections, red—false detections. A) Precision-Recall curve for AJ vertex detection. B) Variation of the F1 score of the vertex detector relative to changes in detection threshold TV. Vertex detection of C) Notum and D) Leg datasets. Vertex location accuracy highly depends on properly tuning up Tv. E) Precision-Recall curve for AJ edge detection. F) Variation of the F1 score relative to changes in propagation threshold TE. Edge detection in G) Notum and H) Leg datasets. Edge detection is more robust than vertex detection. I), J), K) and L) 2D projection of the trajectories respectively found for the cells in E) Notum, F) Leg, G) Mitosis in notum and H) Apoptosis in notum datasets. The system recovers accurate cell trajectories in different scenarios.