iacs_ipac_reader
A plugin used a convolutional neural network (CNN) to distinguish single platelets, platelet clusters, and white blood cells and performed classical image analysis for each subpopulation individually. Based on the derived single-cell features for each population, a Random Forest (RF) model was trained and used to classify COVID-19 associated thrombosis and non-COVID-19 associated thrombosis.
More information about IACS/iPAC.
IACS: DOI: 10.1016/j.cell.2018.08.028
iPAC: DOI: 10.7554/eLife.52938
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install iacs_ipac_reader via pip:
pip install iacs_ipac_reader
To install latest development version :
pip install git+https://github.com/zcqwh/iacs_ipac_reader.git
Introduction
The iacs-ipac-reader plugin mainly include 3 functional tabs:
- iPAC
- IACS
- AID classif.
iPAC image contour tracker
Interface of iPAC contour tracker
IACS image contour tracker
Interface of IACS contour tracker
AID classif.
Interface of AID classif.
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the BSD-3 license, "iacs_ipac_reader" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
1 maintainer
Release files for iacs-ipac-reader 0.0.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iacs_ipac_reader-0.0.13.tar.gz | 66.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iacs_ipac_reader-0.0.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 127.4 kB
Release files / iacs_ipac_reader-0.0.13.tar.gz
| Download URL | iacs_ipac_reader-0.0.13.tar.gz |
|---|---|
| Size | 66.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
96c98e2e9b41bf0fc272ccd27da6801967fc65197939614fd0fb4158558ea216
|
|
BLAKE2b-256 checksum How to use checksums |
54fd0daef54f3e51d98e65f3b507d91e83484e5f165fe3d44c63ba5035ff2a69
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.7
|
Release files / iacs_ipac_reader-0.0.13-py3-none-any.whl
| Download URL | iacs_ipac_reader-0.0.13-py3-none-any.whl |
|---|---|
| Size | 61.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
847678297abca82c858fc0b8e554062be0535f9425bb5bf05a54aa491def1507
|
|
BLAKE2b-256 checksum How to use checksums |
b93b762d9cadb9a5be360acef6d807795cd9032bc940f8515f0ca0c4e33c1219
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.7
|
