PT  - JOURNAL ARTICLE
AU  - Muhammed Khawatmi
AU  - Yoann Steux
AU  - Sadam Zourob
AU  - Heba Sailem
TI  - ShapoGraphy: a glyph-oriented visualisation approach for creating pictorial representations of bioimaging data
AID  - 10.1101/2021.04.07.438792
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.04.07.438792
4099  - http://biorxiv.org/content/early/2021/04/09/2021.04.07.438792.short
4100  - http://biorxiv.org/content/early/2021/04/09/2021.04.07.438792.full
AB  - 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 StatementThe authors have declared no competing interest.