Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Mistake in segmentation leads to cells being incorrectly classified as infected - plateU1rep1_20200519_102648_382 - F10-0004 #86

Open
imagirom opened this issue May 23, 2020 · 3 comments

Comments

@imagirom
Copy link
Contributor

{"plateName":"plateU1rep1_20200519_102648_382","siteName":"F10-0004","pixelLocation":[29227.712252964426,16650.3209486166,0.0],"analysisVersion":"?"}

Screenshot

@tischi
Copy link
Collaborator

tischi commented May 23, 2020

You mean here, right?

image

I guess the idea of machine learning which nuclei are infected and which not would help here.
@constantinpape

@imagirom
Copy link
Contributor Author

Yes and yes.

@constantinpape
Copy link
Contributor

I guess the idea of machine learning which nuclei are infected and which not would help here.
@constantinpape

Yes, working on it and should have initial results on Monday.
(But would of course rather keep it out of the preprint if possible in order to test it properly and to not complicate the story of the manuscript.)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants