Results 49 comments of Jeremy Metz

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...

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/?

OK so my collaborator was ok with this; sample input files are here (as zip of jpegs): [images.zip](https://github.com/scikit-image/skimage-tutorials/files/3456689/images.zip) which produces the following result when analyzed: ![result](https://user-images.githubusercontent.com/1950756/62293756-2e1d2480-b461-11e9-9674-527d9d014981.gif) Is that the kinda...

Hi @emmanuelle - I've used skimage's own `threshold_li` and `threshold_otsu` in the past... in principal though it can be any function that takes an image (2d ndarray) and returns a...

I tend to agree @jni - are you happy with the PR as is then?

@jni - Added callable usage to example. Even for simple data (in this case just making a lower SNR square image) shows the strength of using a callable (here I...

(Also apologies for that last commit - can consolidate if needed)

@jni - thanks, I should be able to add those last changes in later today - though your link to the comment that I didn't address doesn't seem to take...

@jni - just taking a look at this now... so cleaning up the example to use a loop is straight-forward. Only question there would be how far to go. E.g....

@jni - I've implemented the changes outlined, but just before I commit, final detail: I check that the output of the thresholds is either a 2d array or a `numbers.Number`...