EXHALE
Efficient X-ray Hub Aiding Lung Explorations
This project aims to develop a specialized tool for investigating elemental aspects of chronic lung diseases.
From the VINNOVA project
description:
The purpose of this project is to advance understanding and treatment of
chronic lung diseases, leading causes of mortality worldwide, by
characterizing elements in lung tissue suspected to impact their
pathogenesis. The industrial partners TrulyLabs and AnaMar in collaboration
with MAX IV, Lung Biology and Correlative Image Processing and Analysis
(CIPA) fom Lund University, aim to streamline a workflow of X-ray imaging
studies for lung diseases, making these methods more accessible for
biomedical companies and clinical researchers.
Currect functionality
- Loading HDF5 files with XRF data from the NanoMAX beamline at MAX IV.
- Composing element maps into publication-ready figures.
- Segmentation of cells and clustering of areas in element maps.
1 maintainer
Release files for exhale-lung 1.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| exhale_lung-1.3.2.tar.gz | 5.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| exhale_lung-1.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.0 MB
Release files / exhale_lung-1.3.2.tar.gz
| Download URL | exhale_lung-1.3.2.tar.gz |
|---|---|
| Size | 5.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / exhale_lung-1.3.2-py3-none-any.whl
| Download URL | exhale_lung-1.3.2-py3-none-any.whl |
|---|---|
| Size | 5.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
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