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dc.contributor.authorPretorius, A.J.
dc.contributor.authorKhan, Imtiaz
dc.contributor.authorErrington, R.J.
dc.date.accessioned2018-03-29T07:22:48Z
dc.date.available2018-03-29T07:22:48Z
dc.date.issued2016-02-12
dc.identifier.citationPretorius, A.J., Khan, I.A. and Errington, R.J. (2017) 'A survey of visualization for live cell imaging', Computer Graphics Forum 36 (1), pp. 46-63
dc.identifier.issn0167-7055
dc.identifier.issn1467-8659 (online)
dc.identifier.urihttp://hdl.handle.net/10369/9523
dc.descriptionArticle published in Computer Graphics Forum available at https://doi.org/10.1111/cgf.12784
dc.description.abstractLive cell imaging is an important biomedical research paradigm for studying dynamic cellular behaviour. Although phenotypic data derived from images are difficult to explore and analyse, some researchers have successfully addressed this with visualization. Nonetheless, visualization methods for live cell imaging data have been reported in an ad hoc and fragmented fashion. This leads to a knowledge gap where it is difficult for biologists and visualization developers to evaluate the advantages and disadvantages of different visualization methods, and for visualization researchers to gain an overview of existing work to identify research priorities. To address this gap, we survey existing visualization methods for live cell imaging from a visualization research perspective for the first time. Based on recent visualization theory, we perform a structured qualitative analysis of visualization methods that includes characterizing the domain and data, abstracting tasks, and describing visual encoding and interaction design. Based on our survey, we identify and discuss research gaps that future work should address: the broad analytical context of live cell imaging; the importance of behavioural comparisons; links with dynamic data visualization; the consequences of different data modalities; shortcomings in interactive support; and, in addition to analysis, the value of the presentation of phenotypic data and insights to other stakeholders.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofseriesComputer Graphics Forum;
dc.titleA Survey of Visualization for Live Cell Imagingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1111/cgf.12784
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2018-03-29


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