I’ve been counting cells on sagital slice from mice cortices and I’ve been tinkering with the grid modules.
I need to count the cells in distinct regions of the cortex and I can manually create a mask for every image, defining the subregions of every slice. With relateobjects I can later know which cell counts belong to which regions, but It becomes rather complicated for large amounts of slices. So i turned to grids.
The Grids are all made of equal squares or rectangles, but i would need to make elastic or adaptive grids according to some criteria, i.e. divide the mask in 10 vertical strips where the width of each one is always equal to the masks width along the vertical axis. Or some other automatic elastic fitting of grids into the mask that takes into account the masks form.
Another way of putting it would be analysis of spacial relationships other than the distance from centroid to centroid or centroid to edges in the relateobjects module. It could be measurement of the distance of any cell to another object, not necessarily a parent object, like a line or a spot somewhere else in the image. This would also help the analysis of the effect of gradients on the morphology of cells.
Thank you very much,