Diffusion model predicts the geometry of actin cytoskeleton from cell morphology
Fig 5
Predicted SFs based on the diffusion model.
(A) Comparison of real (ground truth) SF images and predicted SF region from the diffusion model. The contour P shows the probability of the SF localization. (B) ROC curve and the corresponding AUC score for each threshold Pth value. The ROC curve illustrates the FPR (false positive rate) versus the TPR (true positive rate) of the prediction. (C) A sample image explaining the data preparation for the ROC analysis. The image is separated into 64 × 64 grids, and each grid is categorized as the SF region (pink) if any of the pixels inside the grid are pixels with SF (white). (D) Error of predicted SF length ℓredict and direction from the diffusion model. (E) Comparison of ground truth SF length ℓreal and predicted SF length lpredict, with the dashed line indicating equal values. (F) Comparison of ground truth SF direction
and predicted SF direction
, with the dashed line indicating equal values.