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I often use CloudVolume to access precomputed data that is stored on some server. Is it possible to use this to access the ome-zarrs that are being served for BIL neuroglancer visualization?
I'm asking because, while standard BIL downloads (e.g. here) only offer a couple sampling resolutions (e.g. 0.35x0.35x1, 0.35x0.35x100, 3.5x3.5x100), it seems like the ome-zarr copy of the data has more resolutions available.
My goal is to be able to, in python, select a resolution level, then download a specific spatial area (e.g. using numpy-like indexing). Do you have any example code snippets that do something like this?
The text was updated successfully, but these errors were encountered:
If you search for a dataset at BIL and it returns a visualization link, then we have a converted version of that data that can be accessed through BrAinPI.
I often use CloudVolume to access precomputed data that is stored on some server. Is it possible to use this to access the ome-zarrs that are being served for BIL neuroglancer visualization?
I'm asking because, while standard BIL downloads (e.g. here) only offer a couple sampling resolutions (e.g. 0.35x0.35x1, 0.35x0.35x100, 3.5x3.5x100), it seems like the ome-zarr copy of the data has more resolutions available.
My goal is to be able to, in python, select a resolution level, then download a specific spatial area (e.g. using numpy-like indexing). Do you have any example code snippets that do something like this?
The text was updated successfully, but these errors were encountered: