Journal
JOURNAL OF APPLIED CRYSTALLOGRAPHY
Volume 54, Issue -, Pages 673-679Publisher
INT UNION CRYSTALLOGRAPHY
DOI: 10.1107/S1600576721000108
Keywords
crystallization; crystal imaging; machine learning; open-source graphical user interfaces
Categories
Funding
- National Science Foundation [1231306, 2029943]
- National Institutes of Health [R24GM12135]
- Div Of Biological Infrastructure
- Direct For Biological Sciences [2029943] Funding Source: National Science Foundation
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Polo is a Python-based GUI designed to streamline viewing and analyzing crystal growth images, aiming to increase efficiency, reduce manual reviewing time, and improve identification of positive crystallization conditions. It offers a one-click interface for MARCO neural network classification, as well as tools for viewing and scoring images, comparing conditions, and collaborative review.
Polo is a Python-based graphical user interface designed to streamline viewing and analysis of images to monitor crystal growth, with a specific target to enable users of the High-Throughput Crystallization Screening Center at Hauptman-Woodward Medical Research Institute (HWI) to efficiently inspect their crystallization experiments. Polo aims to increase efficiency, reducing time spent manually reviewing crystallization images, and to improve the potential of identifying positive crystallization conditions. Polo provides a streamlined one-click graphical interface for the Machine Recognition of Crystallization Outcomes (MARCO) convolutional neural network for automated image classification, as well as powerful tools to view and score crystallization images, to compare crystallization conditions, and to facilitate collaborative review of crystallization screening results. Crystallization images need not have been captured at HWI to utilize Polo's basic functionality. Polo is free to use and modify for both academic and commercial use under the terms of the copyleft GNU General Public License v3.0.
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