Leng, J orcid.org/0000-0001-9790-162X, Pickering, JH, Schroeder, SLM orcid.org/0000-0002-4232-5378 et al. (1 more author) (2022) CrystalGrowthTracker: A Python package to analyse crystal face advancement rates from time lapse synchrotron radiography. The Journal of Open Source Software, 7 (79). 4333. ISSN 2475-9066
Abstract
X-ray synchrotron radiation allows the investigation of many physical processes in unprecedented ways. One application, important to the fine chemicals industry, is characterizing the early stages of crystallization. To aid chemical engineers working in this area we developed the CrystalGrowthTracker package. It allows crystals to be found in videos and their growth rates measured, see Figure 1. We hope that this work can provide the basis for fully automated and 3D systems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0). |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 May 2023 09:08 |
Last Modified: | 12 May 2023 09:08 |
Status: | Published |
Publisher: | The Open Journal |
Identification Number: | 10.21105/joss.04333 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199106 |