Hello,
I am using getMaskWindows with protrusion-based propagation (prSamProtrusion) to sample biosensor signals in migrating fibroblasts (181 frames, 3 min/frame, parameters: perpSize_px = [2 2 2 2 2 2 2 2 2 2], 10 bands × 2 px = 20 px total depth at 3.68 px/µm, paraSize_px = 10, NumParallel = 219 determined from frame 1 perimeter).
I observe systematic and persistent sampling gaps around the cell perimeter. This results in regions of the cell boundary containing meaningful biosensor signal never sampled. Is there a recommended approach to maintain full perimeter coverage while preserving temporal window correspondence for cross-correlation analysis?
I attached some images for you to see.
Thanks,
Hello,
I am using getMaskWindows with protrusion-based propagation (prSamProtrusion) to sample biosensor signals in migrating fibroblasts (181 frames, 3 min/frame, parameters: perpSize_px = [2 2 2 2 2 2 2 2 2 2], 10 bands × 2 px = 20 px total depth at 3.68 px/µm, paraSize_px = 10, NumParallel = 219 determined from frame 1 perimeter).
I observe systematic and persistent sampling gaps around the cell perimeter. This results in regions of the cell boundary containing meaningful biosensor signal never sampled. Is there a recommended approach to maintain full perimeter coverage while preserving temporal window correspondence for cross-correlation analysis?
I attached some images for you to see.
Thanks,