In low contrast/underexposed images FiJi seems to detect forces more robustly

[l-kaplan]

When taking images of the bead channel, one time some of the settings got mixed up which led to images of rather bad quality. They had bad contrast/dynamic range and were rather blurry. Nevertheless I was able to generate reasonable traction force maps using Fiji, while pytraction seemed to struggle in these cases.
For the Fiji pipeline I use rolling ball background subtraction after stack alignment which I think might have helped.

Here is the link to some example images and the outputs I got. For each image it contains following files:

filename	description	comment
Magnitude map ...	magnitude map generated with FiJi pipeline
pos_...	cropped images and roi used for pytraction pipeline; pdf file of traction force map generated by pytraction	wc = with cell; woc = without cell
..._RAW	raw images	ch00 = phase contrast; ch01 = beads