Handle URI:
http://hdl.handle.net/10754/598418
Title:
Glyph-Based Video Visualization for Semen Analysis
Authors:
Duffy, Brian; Thiyagalingam, Jeyarajan; Walton, Simon; Smith, David J.; Trefethen, Anne; Kirkman-Brown, Jackson C.; Gaffney, Eamonn A.; Chen, Min
Abstract:
© 2013 IEEE. The existing efforts in computer assisted semen analysis have been focused on high speed imaging and automated image analysis of sperm motility. This results in a large amount of data, and it is extremely challenging for both clinical scientists and researchers to interpret, compare and correlate the multidimensional and time-varying measurements captured from video data. In this work, we use glyphs to encode a collection of numerical measurements taken at a regular interval and to summarize spatio-temporal motion characteristics using static visual representations. The design of the glyphs addresses the needs for (a) encoding some 20 variables using separable visual channels, (b) supporting scientific observation of the interrelationships between different measurements and comparison between different sperm cells and their flagella, and (c) facilitating the learning of the encoding scheme by making use of appropriate visual abstractions and metaphors. As a case study, we focus this work on video visualization for computer-aided semen analysis, which has a broad impact on both biological sciences and medical healthcare. We demonstrate that glyph-based visualization can serve as a means of external memorization of video data as well as an overview of a large set of spatiotemporal measurements. It enables domain scientists to make scientific observation in a cost-effective manner by reducing the burden of viewing videos repeatedly, while providing them with a new visual representation for conveying semen statistics.
Citation:
Duffy B, Thiyagalingam J, Walton S, Smith DJ, Trefethen A, et al. (2015) Glyph-Based Video Visualization for Semen Analysis. IEEE Transactions on Visualization and Computer Graphics 21: 980–993. Available: http://dx.doi.org/10.1109/TVCG.2013.265.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Visualization and Computer Graphics
Issue Date:
Aug-2015
DOI:
10.1109/TVCG.2013.265
PubMed ID:
26357260
Type:
Article
ISSN:
1077-2626
Sponsors:
The authors wish to thank Akanksha Mishra and CelineJones from the Institute of Life Sciences Oxford for theinvaluable advice and feedback during the design process.They are also grateful to Drs. David Foo and HermesGad^elha for discussions at Centre for Human ReproductiveScience, Birmingham Women’s NHS Foundation Trust.Imaging data were captured as part of DJS’s Fellowship(Medical Research Council grant G0600178). This visualiza-tion work was supported by the King Abdullah Universityof Science and Technology, UK EPSRC, and the James Mar-tin Foundation.
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Full metadata record

DC FieldValue Language
dc.contributor.authorDuffy, Brianen
dc.contributor.authorThiyagalingam, Jeyarajanen
dc.contributor.authorWalton, Simonen
dc.contributor.authorSmith, David J.en
dc.contributor.authorTrefethen, Anneen
dc.contributor.authorKirkman-Brown, Jackson C.en
dc.contributor.authorGaffney, Eamonn A.en
dc.contributor.authorChen, Minen
dc.date.accessioned2016-02-25T13:20:23Zen
dc.date.available2016-02-25T13:20:23Zen
dc.date.issued2015-08en
dc.identifier.citationDuffy B, Thiyagalingam J, Walton S, Smith DJ, Trefethen A, et al. (2015) Glyph-Based Video Visualization for Semen Analysis. IEEE Transactions on Visualization and Computer Graphics 21: 980–993. Available: http://dx.doi.org/10.1109/TVCG.2013.265.en
dc.identifier.issn1077-2626en
dc.identifier.pmid26357260en
dc.identifier.doi10.1109/TVCG.2013.265en
dc.identifier.urihttp://hdl.handle.net/10754/598418en
dc.description.abstract© 2013 IEEE. The existing efforts in computer assisted semen analysis have been focused on high speed imaging and automated image analysis of sperm motility. This results in a large amount of data, and it is extremely challenging for both clinical scientists and researchers to interpret, compare and correlate the multidimensional and time-varying measurements captured from video data. In this work, we use glyphs to encode a collection of numerical measurements taken at a regular interval and to summarize spatio-temporal motion characteristics using static visual representations. The design of the glyphs addresses the needs for (a) encoding some 20 variables using separable visual channels, (b) supporting scientific observation of the interrelationships between different measurements and comparison between different sperm cells and their flagella, and (c) facilitating the learning of the encoding scheme by making use of appropriate visual abstractions and metaphors. As a case study, we focus this work on video visualization for computer-aided semen analysis, which has a broad impact on both biological sciences and medical healthcare. We demonstrate that glyph-based visualization can serve as a means of external memorization of video data as well as an overview of a large set of spatiotemporal measurements. It enables domain scientists to make scientific observation in a cost-effective manner by reducing the burden of viewing videos repeatedly, while providing them with a new visual representation for conveying semen statistics.en
dc.description.sponsorshipThe authors wish to thank Akanksha Mishra and CelineJones from the Institute of Life Sciences Oxford for theinvaluable advice and feedback during the design process.They are also grateful to Drs. David Foo and HermesGad^elha for discussions at Centre for Human ReproductiveScience, Birmingham Women’s NHS Foundation Trust.Imaging data were captured as part of DJS’s Fellowship(Medical Research Council grant G0600178). This visualiza-tion work was supported by the King Abdullah Universityof Science and Technology, UK EPSRC, and the James Mar-tin Foundation.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectflagellum locomotionen
dc.subjectglyph visualizationen
dc.subjectmultivariate dataen
dc.subjectsemen analysisen
dc.subjectVideo visualizationen
dc.titleGlyph-Based Video Visualization for Semen Analysisen
dc.typeArticleen
dc.identifier.journalIEEE Transactions on Visualization and Computer Graphicsen
dc.contributor.institutionUniversity of Oxford, Oxford, United Kingdomen
dc.contributor.institutionUniversity of Birmingham, Birmingham, United Kingdomen

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