The repository contains preliminary code to utilize deep learning approach for automated detection and counting of CPE in cell culture images.
CPE Image Analysis
This repository contains code and resources for the analysis of cytopathic effects (CPE) in cell culture images. The project utilizes image processing techniques to identify and count CPE areas, providing a tool for researchers and clinicians to quantify viral infections' impact on cell cultures.
Cytopathic effects (CPE) are changes in host cells due to viral infections that can be observed under a microscope. Quantifying these changes is crucial in virology research and for the diagnosis of viral infections. This project provides a set of tools for automated detection and counting of CPE in cell culture images.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
What things you need to install the software and how to install them:
- Python 3.x
- OpenCV library
- NumPy library
annotate_all.py should be the latest for contouring of the dark spots. However, plotting and the quantification program will be improved and a new file will be uploaded.