Extended Data Fig. 6: Tracking experiment on noised simulated data. | Nature Methods

Extended Data Fig. 6: Tracking experiment on noised simulated data.

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

Extended Data Fig. 6: Tracking experiment on noised simulated data.The alternative text for this image may have been generated using AI.

Tracking of noised simulated particle dataset. a) Simulated particle dataset generated with ICY track generator40 with different levels of noise added with Fiji36 were tracked with TrackMate35 after interpolating with BIL, DAIN and ZS. GT described the comparison of the tracks of noised ground truth sequence to the real generated tracks. b) Five tracking evaluation metric results of simulated particles at different noise levels with BIL, DAIN and ZS interpolation (n=45 images averaged).

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