Research Data Leeds Repository
Reconstruction of 3D crystal growth from transmission optical microscopy images - Supporting data
Citation
Ilett, Thomas P., Hazlehurst, Thomas A., Jiang, Chen, Ma, CaiYun, Hogg, David C. and Roberts, Kevin J. (2026) Reconstruction of 3D crystal growth from transmission optical microscopy images - Supporting data. University of Leeds. [Dataset] https://doi.org/10.5518/1684
Dataset description
This dataset contains synthetic RGB images of randomised α-LGA crystal structures, including noisy and clean renderings, 3D keypoint and wireframe heatmaps, randomised surface bumpmaps, and ground-truth 3D mesh vertices. It also includes full scene configurations, crystal growth parameters, randomised texture and lighting details, summary statistics, and a predefined training/testing split. Included alongside this are the experimental data (images and manual measurements) and result videos.
| Keywords: | Crystal morphology, Crystallisation processes, Machine learning, Computer vision, 3D shape reconstruction | ||||
|---|---|---|---|---|---|
| Subjects: | H000 - Engineering > H800 - Chemical, process & energy engineering > H810 - Chemical engineering | ||||
| Divisions: | Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering | ||||
| Related resources: |
|
||||
| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||
| Date deposited: | 24 Mar 2026 21:05 | ||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1537 | ||||



file_manifest.txt [873B]
file_manifest.txt [873B]