Illustration generated with AI; not experimental data.

Image Processing

This section covers the digital image-processing concepts and techniques that underpin JuSPICE’s analysis pipelines: fundamentals, preprocessing, feature extraction, clustering/segmentation algorithms, synthetic data generation, and ML-based segmentation. Pick a topic below.

Digital Image Processing Basics

Fundamental concepts underpinning every method in this documentation.

Image Preprocessing

Enhance quality, reduce noise, and standardize images before analysis.

Feature Extraction

Per-pixel feature maps — edges, ridges, texture, and structure.

Image Clustering

Watershed, SLIC, Felzenszwalb, Otsu, and Quickshift clustering algorithms.

Synthetic Data Generation

Strategies for producing large annotated microscopy datasets.

Image Segmentation

Classical and ML-based approaches to per-pixel class labelling.