Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design

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dc.contributor.authorSchikora, Christoph Markusen_US
dc.contributor.authorPlack, Markusen_US
dc.contributor.authorBornemann, Raineren_US
dc.contributor.authorBolívar, Peter Haringen_US
dc.contributor.authorKolb, Andreasen_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:36Z
dc.date.available2017-06-12T05:22:36Z
dc.date.issued2017
dc.description.abstract2D Confocal Raman Microscopy (CRM) data consist of high dimensional per-pixel spectral data of 1000 bands and allows for complex spectral and spatial-spectral analysis tasks, i.e., in material discrimination, material thickness, and spatial material distributions. Currently, simple integral methods are commonly applied as visual analysis solutions to CRM data which exhibit restricted discrimination power in various regards. In this paper we present a novel approach for the visual analysis of 2D multispectral CRM data using multi-variate visualization techniques. Due to the large amount of data and the demand of an explorative approach without a-priori restriction, our system allows for arbitrary interactive (de)selection of varaibles w/o limitation and an unrestricted online definition/construction of new, combined properties. Our approach integrates CRM specific quantitative measures and handles material-related features for mixed materials in a quantitative manner. Technically, we realize the online definition/construction of new, combined properties as semi-automatic, cascaded, 1D and 2D multidimensional transfer functions (MD-TFs). By interactively incorporating new (raw or derived) properties, the dimensionality of the MD-TF space grows during the exploration procedure and is virtually unlimited. The final visualization is achieved by an enhanced color mixing step which improves saturation and contrast.en_US
dc.description.number3
dc.description.sectionheadersData Processing
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13183
dc.identifier.issn1467-8659
dc.identifier.pages239-249
dc.identifier.urihttps://doi.org/10.1111/cgf.13183
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13183
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectDisplay algorithm
dc.subject
dc.subjectI.4.10 [Image Processing and Computer Vision]
dc.subjectMultidimensional
dc.subjectI.5.3 [Pattern Recognition]
dc.subjectAlgorithms
dc.titleVisual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Designen_US
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