A tool for creating and visualizing n-dimensional microscopy images.
Project description
nViz
This project focuses on ingesting a set of TIFF images as OME-Zarr or OME-TIFF. Each input image set^1^ are organized by channel and z-slices which form four dimensional (4D) microscopy data. These 4D microscopy data contain information for biological objects (such as organoids).
We read the output with Napari, which provides a way to analyze and understand the 3D image data.
1. Image set is loosely defined and changes depending on the context of the data. Here it represents a set of images in multiple dimensions that contain information regarding the same sample. Each image in an imageset is paired data and must be related as such.
Installation
Install nViz from PyPI or from source:
# install from pypi
pip install nviz
# install directly from source
pip install git+https://github.com/WayScience/nViz.git
Contributing, Development, and Testing
Please see our contributing documentation for more details on contributions, development, and testing.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nviz-0.0.1.tar.gz.
File metadata
- Download URL: nviz-0.0.1.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a4151f1808e3f431543b313598607664a55ae083827ed79d6d67e84bca62a80d
|
|
| MD5 |
beaf8fdc69ad498a7ab8b8fc223ae8ed
|
|
| BLAKE2b-256 |
1e2a18e1b2d6f417175517548b260d6fb6c3c1436dd285158bd68eb2db0205ee
|
Provenance
The following attestation bundles were made for nviz-0.0.1.tar.gz:
Publisher:
publish-pypi.yml on WayScience/nViz
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
nviz-0.0.1.tar.gz -
Subject digest:
a4151f1808e3f431543b313598607664a55ae083827ed79d6d67e84bca62a80d - Sigstore transparency entry: 165465635
- Sigstore integration time:
-
Permalink:
WayScience/nViz@48256a2f7efc9fd81cc14f4d2737dd4d394e213a -
Branch / Tag:
refs/tags/v0.0.1 - Owner: https://github.com/WayScience
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish-pypi.yml@48256a2f7efc9fd81cc14f4d2737dd4d394e213a -
Trigger Event:
release
-
Statement type:
File details
Details for the file nviz-0.0.1-py3-none-any.whl.
File metadata
- Download URL: nviz-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
43a8d96f9856b132ad12bf780617cd7b8199206c8e5fef46aac666e79c3e0b9e
|
|
| MD5 |
beaf163f5134d755bad8f75cb4ae801d
|
|
| BLAKE2b-256 |
955ad4255af2dbe26a2afd634ddca29816c2e514abd5b1121862f0e01d39588e
|
Provenance
The following attestation bundles were made for nviz-0.0.1-py3-none-any.whl:
Publisher:
publish-pypi.yml on WayScience/nViz
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
nviz-0.0.1-py3-none-any.whl -
Subject digest:
43a8d96f9856b132ad12bf780617cd7b8199206c8e5fef46aac666e79c3e0b9e - Sigstore transparency entry: 165465637
- Sigstore integration time:
-
Permalink:
WayScience/nViz@48256a2f7efc9fd81cc14f4d2737dd4d394e213a -
Branch / Tag:
refs/tags/v0.0.1 - Owner: https://github.com/WayScience
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish-pypi.yml@48256a2f7efc9fd81cc14f4d2737dd4d394e213a -
Trigger Event:
release
-
Statement type:
