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A GUI application for neutrophil classification using deep learning models

Project description

Neutrophils Maturation Classifier App

alt text

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

  1. 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
  1. Install in editable mode:
pip install -e .
  1. Run the application:
neutrophil-classifier

Building and Publishing

See BUILD_GUIDE.md for detailed build and publish instructions.

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