JuSPICE

Speedy Processing of Images in Computational Electrochemistry

JuSPICE is a toolkit for working with scientific images, built especially for electrochemistry research. It loads images, cleans them up (preprocessing), groups similar regions (clustering), finds and labels objects (segmentation), repairs damaged regions (inpainting), extracts measurable features, and generates synthetic training images — all ready to feed straight into machine learning. Every step you run is automatically recorded, so your results can always be reproduced exactly.

Getting Started Notebook Examples API Reference GitLab

Overview of JuSPICE's independent modules: I/O & Tracking, Preprocessing, Clustering, Segmentation, Inpainting, Feature Extraction, and Synthetic Data Generation, all built around the central SPICEData object.