Open tsuijenk opened 3 weeks ago
@tsuijenk, can you please provide more information on how the results look now and how do you understand that they're poor?
Hello! Thank you very much for your reply.
This image is the output of a CellPose trained model, where each nuclei is labeled by a unique integer, with background denoting 0. Hence, we would expect Baysor to be able to put a "red dot" on each of these nuclei. However, there are only three "red dots" here, far from expected outcome.
We have 16 FOVs and this was one of them. I wonder if the fact that them being tissue data made it more difficult. As Baysor seemed to have worked well on a cell cultured image set.
Good day,
Below are the parameters I use for the prior segmentation:
I thought I would be getting all the cell centers given I set the confidence to 0.96 and with such a higher number of iterations. Are there any other advice to improve the baysor result?
Thank you.