scikit-image / skimage-tutorials

skimage-tutorials: a collection of tutorials for the scikit-image package.
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Papers to turn into tutorials / case studies #43

Open jni opened 5 years ago

jni commented 5 years ago

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

sciunto commented 5 years ago

great idea!

alexdesiqueira commented 5 years ago

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

jni commented 5 years ago

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

jmetz commented 5 years ago

Sounds like a great idea @jni :+1: - 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 commented 5 years ago

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 commented 5 years ago

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.