Open jenna-tomkinson opened 1 year ago
I think it is possible, and I think we definitely want it to be done! I think @jccaicedo and @Arkkienkeli were planning to do it (or if they weren't, I was!), though, so I would definitely not want to duplicate efforts here.
There is a template for making Measurement class modules in CellProfiler (which this would be), but I would say this is probably not a good candidate for anyone's first CellProfiler plugin, I expect it may be fiddly.
Looking back at our notes, @rsenft1 had also expressed interest in taking a crack at it.
Thank you for the reply Beth!
I totally understand this being a big first endeavor for myself, so I would love to be involved in this as much as I can with everyone. I can't wait to see where this goes soon!
@jenna-tomkinson FYI, we are actively working on this now. We are discussing this in #183. @fefossa is spearheading it with help from @callum-jpg. If you still have interest and bandwidth in being involved, let us know.
@ErinWeisbart @fefossa @callum-jpg
This is awesome! I still have interest and love to participate, but mainly in the form of PR reviews/testing with the plugin/adding comments in the discussion. I have much to learn from this about the technical aspects of creating CellProfiler plugins.
Let me know how best to be able to participate and be involved!
Is your feature request related to a problem? Please describe.
This feature request isn't one that solves a problem, it is adding to the functionality of CellProfiler as a whole. It will allow a user to extract features from single cells using a different method as compared to what is already established.
Describe the solution you'd like
I am hoping to work on a DeepProfiler plugin for CellProfiler, where you can have deep learning features extracted from single cells along with the features from the already established CellProfiler measurement modules.
@bethac07 Is there any advice that you (or others) can provide on this? If you think it is possible or do you have a best place to start?
Thank you!