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

Papers to turn into tutorials / case studies #43

Open
8 tasks
jni opened this issue Jul 29, 2019 · 6 comments
Open
8 tasks

Papers to turn into tutorials / case studies #43

jni opened this issue Jul 29, 2019 · 6 comments

Comments

@jni
Copy link
Member

jni commented Jul 29, 2019

I'm creating this issue as an external to-do for possible papers on which to build tutorials / examples.

@sciunto
Copy link
Member

sciunto commented Jul 29, 2019

great idea!

@alexdesiqueira
Copy link
Member

Awesome @jni! There are lots of interesting use cases around, like this, on segmentation of nuclear tracks in microscopic images 😄

@jni
Copy link
Member Author

jni commented Aug 1, 2019

@alexandrejaguar can you edit my initial post with a tick box for that paper? =)

@jmetz
Copy link

jmetz commented Aug 1, 2019

Sounds like a great idea @jni 👍 - though for that particular paper the main segmentation, which can be seen in the figures, was done by a colleague. My contribution was a the microfluidic cell deformation component which isn't shown in the main figures.
Nonetheless I can contact the person in question and ask him for his code.

However, this project might be a better candidate, and shows a fairly common biology image analysis task - segmenting red blood cells. I've already written to the PI on this project to ask if they are happy us using the data for this purpose. I'll update once they reply!

@jmetz
Copy link

jmetz commented Aug 1, 2019

On as side-note, we might want to also consider simply using an online databank of biological images, such as https://idr.openmicroscopy.org/ or http://cellimagelibrary.org/?

@jmetz
Copy link

jmetz commented Aug 1, 2019

OK so my collaborator was ok with this; sample input files are here (as zip of jpegs):
images.zip
which produces the following result when analyzed:
result

Is that the kinda thing you were thinking?

PS the original data is in uncompressed (or at least un-lossy compressed) tiff format, but couldn't attach that here.

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

No branches or pull requests

4 participants