About
Leaf CT Hub website summary
Leaf CT Hub is a static catalog for plant and leaf X-ray micro-CT datasets, segmentation annotations, preview images, repository links, and companion segmentation resources.
What The Website Includes
Catalog
Searchable dataset records with species, family, common name, imaging equipment, image size, file format, provider credit, source links, and citations when available.
Previews
Lightweight raw-image and grayscale mask previews let users inspect representative anatomy and segmentation labels before opening the source repository.
Segmentation
Dataset records include annotation classes and mask-value summaries. The website also links to the hosted Leaf CT Segmentation App and related source repositories.
Data Access
Browse here, download from trusted repositories
Leaf CT Hub stores lightweight metadata, preview images, and configuration files. Large image stacks and masks remain in DOI-backed or trusted external repositories.
Reuse Note
Website code is MIT licensed. Dataset images, masks, annotations, and source files remain with their contributors or repositories. See each dataset record for attribution, source links, and reuse terms.
Credits
Website development
Leaf CT Hub was developed by Worasit Sangjan and Devin A. Rippner as an open, GitHub Pages-based resource for organizing plant X-ray micro-CT dataset metadata and segmentation resources.
Dataset contributors
- Aleca M. Borsuk
- Christopher D. Muir
- Jesse Gomez
- Leila R. Fletcher
- Mina Momayyezi
- Morgan E. Furze
- Richard Harwood
- Santiago Trueba