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A reader plugin for read iacs/ipac images and export .rtdc files.

Project description

iacs_ipac_reader

License PyPI Python Version tests codecov napari hub

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

<center>Interface of iPAC contour tracker</center>

ipac.

IACS image contour tracker

<center>Interface of IACS contour tracker</center>

iacs.

AID classif.

<center>Interface of AID classif.</center>

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.

Project details


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iacs_ipac_reader-0.0.13.tar.gz (66.1 kB view hashes)

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