A GUI application for neutrophil classification using deep learning models
Project description
Neutrophils Maturation Classifier App
A minimal 3D neutrophil maturation classification app with convolution neural network.
Overview
This application allows for the automated classification of neutrophils at different maturation stages using a 3D convolutional neural network. It's designed to assist researchers and clinicians in analyzing 3D neutrophil morphology with geometric and CNN embedded features.
Note: GPU runtime only available on Linux.
Features
- 3D visualization of neutrophil isosurfaces
- Real-time classification of neutrophil maturation stages
- Support for TIFF image input
- Batch processing capabilities
Requirements
- Python 3.9 or higher
- CUDA-compatible GPU (recommended for GPU acceleration)
Installation
Simple Installation (Recommended)
pip install neutrophils-classifier
Note: This package now uses the published neutrophils-core library from PyPI, which provides the core machine learning functionality.
Run the App
neutrophil-classifier
For Developers
Development Setup
- Set up the conda environment:
git clone git@github.com:bpi-oxford/Neutrophils-Classifier-App.git
cd Neutrophils-Classifier-App
git submodule update --init --recursive
mamba env create -f env-minimal.yaml
mamba activate neutrophils-minimal
- Install in editable mode:
pip install -e .
- Run the application:
neutrophil-classifier
Building and Publishing
See BUILD_GUIDE.md for detailed build and publish instructions.
Project details
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