Hi,
I have an orignal 3D confocal cell image with a dimension of 640x640x26.
After image segmentation, I obtained the edges of the cell boundary. I
performed regression to estimate more data points to reconstruct the cell.
X/Y: 1 pixel = 0.082 microns
Z: 1 pixel = 0.380 microns
Attached is the an illustration of my explanation. It's the side view of a
cell. The blue dots are points obtained after segmentation. The green
points are estimated points obtained from regression.
For my case, I realized that my cell don't join exactly at the boundary. I
think my problem lies in scaling/normalizing the dimension which I can't
figure how to go about doing it.
Appreciate if anyone can help me on this. Thanks!