Hi Alex

On Tue, Sep 19, 2017, at 21:25, Alexandre Fioravante de Siqueira wrote:

as I said in an old previous e-mail, I presented a short course using scikit-image for processing microscopy images at IAMG2017 (short course 8 at <http://iamg2017.com/courses/>).

An alpha version of the codes is now available; please feel free to check it at <https://github.com/alexandrejaguar/lectures/tree/master/2017/iamg2017>.

Thanks for sharing these!

Since it is still very raw, I'd be glad to receive your comments, suggestions and ideas!

I'd say 1) stick to gray, viridis, and other reliable colormaps and 2) plot the found features so that they are easier to observe (currently just pixels inside a big image).

You may also want to take a look at the segmentation lesson from the skimage_tutorial repo, which has a few sketches to clarify the workings of watershed.

Best regards

Stéfan