Extended Data Fig. 1: Segmentation analysis with CAFI. | Nature Methods

Extended Data Fig. 1: Segmentation analysis with CAFI.

From: Content-aware frame interpolation (CAFI): deep learning-based temporal super-resolution for fast bioimaging

Extended Data Fig. 1: Segmentation analysis with CAFI.The alt text for this image may have been generated using AI.

Segmentation analysis with CAFI: a) Comparison of the intersection of union (IoU) quality distribution of StarDist segmentation results for 4x iCAFI interpolation (DAIN, ZS) compared to classical interpolation methods (NONE, BIL) on an image sequence of labeled nuclei. The full sample comprised 66 images, and the average IoU for NONE, BIL, DAIN, and ZS was 0.80 ± 0.04, 0.82 ± 0.04, 0.86 ± 0.03, and 0.85 ± 0.03 respectively. b) One representative example for the segmentation improvements of ZS and DAIN over NONE and BIL interpolation (in cyan) compared to the ground truth segmentation (in magenta).

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