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:
LocationType
https://doi.org/10.1093/pnasnexus/pgag080Publication
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

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