CrystalGrowthTracker: A Python package to analyse crystal face advancement rates from time lapse synchrotron radiography

DOI: 10.21105/joss.04333

Authors: Joanna Leng (University of Leeds) , Jonathan H. Pickering (University of Leeds) , Sven L. M. Schroeder (University of Leeds; Diamond Light Source; Research Complex at Harwell (RCaH); University of Strathclyde,) , Gunjan Das (University of Leeds; Diamond Light Source; Research Complex at Harwell (RCaH); University of Strathclyde)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Journal Of Open Source Software , VOL 7

State: Published (Approved)
Published: November 2022
Diamond Proposal Number(s): 20984

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.

Journal Keywords: video processing; crystal growth; synchrotron radiation

Subject Areas: Information and Communication Technology, Materials, Technique Development


Instruments: I13-2-Diamond Manchester Imaging

Added On: 19/11/2022 10:46

Documents:
joss.04333.pdf

Discipline Tags:

Technique Development - Materials Science Computing & software technologies Materials Science

Technical Tags:

Imaging Tomography