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ShapoGraphy: a glyph-oriented visualisation approach for creating pictorial representations of bioimaging data

Muhammed Khawatmi, Yoann Steux, Sadam Zourob, Heba Sailem
doi: https://doi.org/10.1101/2021.04.07.438792
Muhammed Khawatmi
1Institute of Biomedical Engineering, Department of Engineering Science, Old Road Campus Research Building, University of Oxford OX3 7DQ, UK
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Yoann Steux
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Sadam Zourob
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Heba Sailem
1Institute of Biomedical Engineering, Department of Engineering Science, Old Road Campus Research Building, University of Oxford OX3 7DQ, UK
2Big Data Institute, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus Research Building, Oxford OX3 7LF, UK
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  • For correspondence: heba.sailem@eng.ox.ac.uk
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Abstract

Intuitive visualisation of quantitative microscopy data is crucial for interpreting and discovering new patterns in complex bioimage data. Existing visualisation approaches, such as bar charts, scatter plots and heat maps, do not accommodate the complexity of visual information present in microscopy data. Here we develop ShapoGraphy, a first of its kind method accompanied by a user-friendly web-based application for creating interactive quantitative pictorial representations of phenotypic data and facilitating the understanding and analysis of image datasets (www.shapography.com). ShapoGraphy enables the user to create a structure of interest as a set of shapes. Each shape can encode different variables that are mapped to the shape dimensions, colours, symbols, and stroke features. We illustrate the utility of ShapoGraphy using various image data, including high dimensional multiplexed data. Our results show that ShapoGraphy allows a better understanding of cellular phenotypes and relationships between variables. In conclusion, ShopoGraphy supports scientific discovery and communication by providing a wide range of users with a rich vocabulary to create engaging and intuitive representations of diverse data types.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://www.shapography.com

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 09, 2021.
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ShapoGraphy: a glyph-oriented visualisation approach for creating pictorial representations of bioimaging data
Muhammed Khawatmi, Yoann Steux, Sadam Zourob, Heba Sailem
bioRxiv 2021.04.07.438792; doi: https://doi.org/10.1101/2021.04.07.438792
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ShapoGraphy: a glyph-oriented visualisation approach for creating pictorial representations of bioimaging data
Muhammed Khawatmi, Yoann Steux, Sadam Zourob, Heba Sailem
bioRxiv 2021.04.07.438792; doi: https://doi.org/10.1101/2021.04.07.438792

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