About

I would like to spark a discussion about an extension and possible reorganization of the gallery. Currently, the gallery is structured into families of processing tasks (filtering, feature detection, object segmentation, ...). Alternatively or additionally, we may want to offer starting points which refer to the scientific fields of application (life sciences, geospatial applications, ...).

Life sciences

I'm working with @emmanuelle to supplement the gallery with simple processing examples of biological/biomedical images. To begin with, the examples would be small; typically, they would more straightforward than tutorials used in teaching settings. The examples should look very familiar to a biologist landing on our gallery. Note that, in the big picture, this effort relates to @jni's project via CZI.

(Large) bioimaging data

A great way to make an example look familiar is to use datasets (here, biomedical images) which are well-known in the field or at least typical of the field. I believe I can use images made available by CellProfiler -- I will reach out to them to see if the attribution terms also apply to the data and, if so, to make sure the attribution notice I will include suits them.

I will also be happy to add an example showcasing how to download https://github.com/scikit-image/skimage-tutorials/raw/master/images/cells.tif (~30MB dataset with 3D images of cells) on the fly (now possible thanks to the recent setup of Pooch #3945) and carry out basic processing tasks on it.