Pythonic interface to neuroglancer for displaying neuronal data like neurons, synapses, meshes (surfaces, volumes), annotations (points) in the precomputed format.
Installation
The easiest way to install the package is via pip:
$ pip3 install pyroglancer
The easiest way to install the latest developments from GitHub is:
$ pip3 install git+git://github.com/SridharJagannathan/pyroglancer@master
Documentation
https://SridharJagannathan.github.io/pyroglancer
Features
- Fetch and display neurons/neuropil meshes from electron microscopy (EM) datasets like hemibrain, FAFB etc and light microscopy (LM) neurons in mesh format.
- Display locally modified neurons or neuropil meshes.
- Display synapse annotations etc
| Elements | Format | Source | Datasets |
|---|---|---|---|
neuron |
skeletons (swc) or volumetric meshes | CATMAID, neuprint, vritualflybrain or other locally modified data |
EM datasets like FAFB, hemibrain or any other LM dataset like lineage clones etc |
neuropils |
volumetric meshes | CATMAID, neuprint or other locally modified data |
FAFB, hemibrain |
synapses |
point annotations or precomputed format | neuroglancer layers or other locally modified data | FAFB, hemibrain |
Acknowledgements
Thanks to Jeremy Maitin-Shepard from google for inventing the precomputed format and answering many of my queries. The pyroglancer logo was inspired from PyPy. The pyroglancer critically depends on packages like NAVis for interfacing with neuron data.
Copyright & License
Copyright (c) 2021, Sridhar Jagannathan. 3-clause BSD License.
Metadata
Release files for pyroglancer 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyroglancer-0.0.5.tar.gz | 36.4 kB | Without provenance | Details for pyroglancer-0.0.5.tar.gz |
Release files / pyroglancer-0.0.5.tar.gz
| Download URL | pyroglancer-0.0.5.tar.gz |
|---|---|
| Size | 36.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eab3f7ab097d0caeb5ef993ccda6629902339201bf7b06d0c411b6c5ad51cc8d
|
|
BLAKE2b-256 checksum How to use checksums |
cd5cff24e9f0853490358152eed088682afce4001a6a66a49a96831083956faa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
Security for pyroglancer 0.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.