pAPRica
Welcome to pAPRica (pipelines for Adaptive Particle Representation image compositing and analysis), a package based on the Adaptive Particle Representation (APR) to accelerate image processing and research involving imaging and microscopy.
pAPRica is built on top of:
Briefly, pAPRica allows to accelerate processing of volumetric image data while lowering the hardware requirements. It
is made of several independent modules that are tailored to convert, stitch, segment, map to an atlas and visualize
data. pAPRica can work as a postprocessing tool and is also compatible with real time usage during acquisitions,
enabling minimal lead time between imaging and analysis.
Tutorials and reference documentation is available at WyssCenter.github.io/pAPRica/.
Requirements
The software should run on any operating system and python version 3.7 or higher. It is recommended that the system RAM is at least 3 times the size of a single tile, to allow voxels-to-APR conversion without decomposition of the input images.
Be part of the community
If you have a project that you think would benefit from this software but aren't sure where to start, don't hesitate to contact us. We'd be happy to assist you.
If you encounter any problems or bugs 🪲, please file an issue.
References:
If you use this pipeline in your research, please consider citing the following:
- Efficient image analysis for large-scale next generation histopathology using pAPRica (bioRxiv preprint)
- Adaptive particle representation of fluorescence microscopy images (Nature Communications)
1 maintainer
Metadata
1 maintainer
Release files for paprica 0.0.1
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 |
|---|---|---|---|---|
| paprica-0.0.1.tar.gz | 14.4 MB | Without provenance | Details for paprica-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| paprica-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for paprica-0.0.1-py3-none-any.whl |
Total release size: 14.5 MB
Release files / paprica-0.0.1.tar.gz
| Download URL | paprica-0.0.1.tar.gz |
|---|---|
| Size | 14.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
01da15d3caff97f34189d33110920a44fa9f5d733ebacc7e27515998e7d17f4d
|
|
BLAKE2b-256 checksum How to use checksums |
e725b2090a2bb0196291e288ef5812be690d3291221967bc30dafad176fdc3ac
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.1
|
Release files / paprica-0.0.1-py3-none-any.whl
| Download URL | paprica-0.0.1-py3-none-any.whl |
|---|---|
| Size | 82.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d1835a5d63805b97343dff5fee32c6bff9ab23b784bb9e6869784991c8a5a8e4
|
|
BLAKE2b-256 checksum How to use checksums |
854fe47f12101b593c958d0d7212947f97ae5be97dc7495ead9377e211a32281
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.1
|
Security for paprica 0.0.1
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.
