This software is described in the reference paper titled "GRANA: Accelerating Chloroplast Grana Nanomorphology Analysis with Hybrid Intelligence," currently under review for publication.
Try GRANA with a set of Demo TEM Images available for download here. The scale for the images is 1.298 pixels per nanometer
Explore the GRANA tool’s demo version on Hugging Face Spaces, allowing you to analyze up to five images simultaneously
We strongly recommend installing locally with Docker to get the best experience, as the Huggingface demo runs significantly slower. Running GRANA on your machine ensures smoother and faster performance.
The recommended method for running GRANA is through a Docker container. If Docker is already installed on your system, simply enter the following command in your Terminal:
docker run -p 7860:7860 mbuk/grana
Once the command is executed, you can access the GRANA interface in your browser at http://localhost:7860.
Refer to the Docker Desktop official documentation for detailed installation steps based on your operating system.
For additional support, refer to the README on the GitHub repository, and follow the documentation links for troubleshooting and usage tips.
GRANA utilizes three artificial neural networks, each optimized for a specific stage in grana identification and measurement, delivering fast and reliable results for large datasets
Designed to simplify the complex process of grana measurement and analysis into a seamless, one-click workflow
With GRANA, analyze grana thylakoids from various species and environmental conditions over 100 times faster than traditional manual approaches. Deploy GRANA on your local machine or any environment that supports Docker