Figure 5.
Occlusive clots 20 minutes following FeCl3 treatment. (A) Perpendicular section approximately middle of the thrombus. The upper bar marks the FeCl3 application site. The high-zoomed central section shows the organization of elongated platelets with few pseudopods, mostly discoid in shape and loosely packed spatially. (B) Parallel section approximately middle of the thrombus. The zoomed inset shows elongated platelets with several pseudopods, yet mostly discoid in shape and loosely packed spatially. (B,D) Cloud-based AI analysis of the distribution of clot components (elongated platelets, area of tightly packed platelets, RBCs, and WBCs in both perpendicular and parallel sections within an occlusive clot). Following the training (details of cloud training are given in supplemental Figure 6), 4 files for individual clot components were downloaded. (A-B) The output of training images after applying those on blended images in Arivis Pro software. In panel A, the cellular components were mapped in a perpendicular section, 50% in of an occlusive clot. The trained files for each cellular components were uploaded to the Arivis Pro software, and were applied to the whole blended image using deep learning algorithm through a pipeline. Green, area of tightly packed platelets; blue, elongated platelets; red, RBCs; yellow, WBCs. The upper bar represents the FeCl3 application site. In panel B, the cellular components were mapped in a parallel section, 50% of an occlusive clot in Arivis Pro software using the same algorithm.

Occlusive clots 20 minutes following FeCl3 treatment. (A) Perpendicular section approximately middle of the thrombus. The upper bar marks the FeCl3 application site. The high-zoomed central section shows the organization of elongated platelets with few pseudopods, mostly discoid in shape and loosely packed spatially. (B) Parallel section approximately middle of the thrombus. The zoomed inset shows elongated platelets with several pseudopods, yet mostly discoid in shape and loosely packed spatially. (B,D) Cloud-based AI analysis of the distribution of clot components (elongated platelets, area of tightly packed platelets, RBCs, and WBCs in both perpendicular and parallel sections within an occlusive clot). Following the training (details of cloud training are given in supplemental Figure 6), 4 files for individual clot components were downloaded. (A-B) The output of training images after applying those on blended images in Arivis Pro software. In panel A, the cellular components were mapped in a perpendicular section, 50% in of an occlusive clot. The trained files for each cellular components were uploaded to the Arivis Pro software, and were applied to the whole blended image using deep learning algorithm through a pipeline. Green, area of tightly packed platelets; blue, elongated platelets; red, RBCs; yellow, WBCs. The upper bar represents the FeCl3 application site. In panel B, the cellular components were mapped in a parallel section, 50% of an occlusive clot in Arivis Pro software using the same algorithm.

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