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

2D 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...

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Veröffentlicht in:	Computer graphics forum Jg. 36; H. 3; S. 239 - 249
Hauptverfasser:	Schikora, Christoph M., Plack, Markus, Bornemann, Rainer, Bolívar, Peter Haring, Kolb, Andreas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.06.2017
Schlagworte:	Aqueous solutions Band spectra Categories and Subject Descriptors (according to ACM CCS) Data transfer (computers) Discrimination I.3.3 [Computer Graphics]: Display algorithm I.4.10 [Image Processing and Computer Vision]: Multidimensional I.5.3 [Pattern Recognition]: Algorithms Interactive systems Materials handling Materials selection Properties (attributes) Raman spectroscopy Spectroscopic analysis Task complexity Transfer functions Visual discrimination Visualization
ISSN:	0167-7055, 1467-8659
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Abstract	2D 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.
AbstractList	2D 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. 2D 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.
Author	Schikora, Christoph M. Plack, Markus Bornemann, Rainer Kolb, Andreas Bolívar, Peter Haring
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References	2015; 140 2012 2006; 12 2011 2010 2002; 8 2003; 14 2008 2007 2006 2005 2003 2002 2012; 14 2011; 17 2012; 36 2007; 13 2016; 35 2013; 19 2010; 64 2010; 48 2005; 4 2003; 3 2007; 7 2016 2005; 1 2007; 62 2013 2009; 38 2014; 33 2009; 15 e_1_2_8_27_2 e_1_2_8_28_2 e_1_2_8_29_2 e_1_2_8_23_2 e_1_2_8_24_2 e_1_2_8_25_2 e_1_2_8_26_2 e_1_2_8_9_2 Keshava N. (e_1_2_8_19_2) 2003; 14 Doleisch H. (e_1_2_8_7_2) 2003; 3 e_1_2_8_2_2 e_1_2_8_4_2 e_1_2_8_3_2 e_1_2_8_5_2 e_1_2_8_8_2 e_1_2_8_20_2 e_1_2_8_21_2 e_1_2_8_22_2 e_1_2_8_16_2 e_1_2_8_17_2 e_1_2_8_18_2 e_1_2_8_12_2 e_1_2_8_35_2 e_1_2_8_13_2 e_1_2_8_34_2 e_1_2_8_14_2 e_1_2_8_37_2 e_1_2_8_15_2 e_1_2_8_36_2 e_1_2_8_31_2 e_1_2_8_30_2 e_1_2_8_10_2 e_1_2_8_33_2 e_1_2_8_11_2 e_1_2_8_32_2 Broersen A. (e_1_2_8_6_2) 2005
References_xml	– start-page: 1135 year: 2011 end-page: 1138 – start-page: 73 year: 2013 end-page: 80 – volume: 33 start-page: 91 year: 2014 end-page: 100 – volume: 8 start-page: 270 year: 2002 end-page: 285 article-title: Multidimensional transfer functions for interactive volume rendering publication-title: IEEE Transactions on Visualization and Computer Graphics – volume: 38 start-page: 725 year: 2009 end-page: 730 article-title: Thickness estimation of epitaxial graphene on sic using attenuation of substrate raman intensity publication-title: Journal of electronic materials – start-page: 400 year: 2008 end-page: 407 – volume: 7 start-page: 238 year: 2007 end-page: 242 article-title: Spatially resolved raman spectroscopy of single‐and few‐layer graphene publication-title: Nano letters – volume: 19 start-page: 94 year: 2013 end-page: 107 article-title: Abstracting attribute space for transfer function exploration and design publication-title: IEEE Trans. Vis. Comput. Graph – volume: 3 start-page: 239 year: 2003 end-page: 248 article-title: Interactive feature specification for focus+ context visualization of complex simulation data publication-title: VisSym – volume: 13 start-page: 1336 year: 2007 end-page: 1343 article-title: Semantic layers for illustrative volume rendering publication-title: IEEE Transactions on Visualization and Computer Graphics – volume: 64 start-page: 1007 year: 2010 end-page: 1016 article-title: Optimal choice of baseline correction for multivariate calibration of spectra publication-title: Applied spectroscopy – start-page: 117 year: 2005 end-page: 123 – volume: 12 start-page: 909 year: 2006 end-page: 916 article-title: Multi‐variate, time varying, and comparative visualization with contextual cues publication-title: IEEE Transactions on visualization and computer graphics – volume: 140 start-page: 250 year: 2015 end-page: 257 article-title: Baseline correction using asymmetrically reweighted penalized least squares smoothing publication-title: Analyst – year: 2012 – start-page: 61 year: 2011 end-page: 89 – volume: 36 start-page: 596 year: 2012 end-page: 606 article-title: Technical section: Transfer function combinations publication-title: Comput. Graph – volume: 4 start-page: 490 year: 2005 end-page: 530 article-title: A review of image de‐noising algorithms, with a new one publication-title: Multiscale Modeling & Simulation – volume: 1 start-page: 163 year: 2005 end-page: 166 – volume: 35 start-page: 669 year: 2016 end-page: 691 article-title: State of the art in transfer functions for direct volume rendering publication-title: Computer Graphics Forum – start-page: 25 year: 2010 end-page: 32 – volume: 17 start-page: 2106 year: 2011 end-page: 2114 article-title: Wysiwyg (what you see is what you get) volume visualization publication-title: IEEE Transactions on Visualization and Computer Graphics – start-page: 1 year: 2005 – year: 2002 – start-page: 283 year: 2016 end-page: 290 – start-page: 712 issue: IEEE Press year: 2007 end-page: 720 – year: 2006 – volume: 15 start-page: 1327 year: 2009 end-page: 1334 article-title: Visual human+ machine learning publication-title: IEEE Transactions on Visualization and Computer Graphics – volume: 62 start-page: 63 year: 2007 end-page: 68 article-title: A multiplatform code for the analysis of energy‐dispersive x‐ray fluorescence spectra publication-title: Spectrochimica Acta Part B: Atomic Spectroscopy – volume: 19 start-page: 495 year: 2013 end-page: 513 article-title: Visualization and visual analysis of multifaceted scientific data: A survey publication-title: IEEE transactions on visualization and computer graphics – volume: 14 start-page: 55 year: 2003 end-page: 78 article-title: A Survey of Spectral Unmixing Algorithms publication-title: Lincoln Laboratory Journal – start-page: 497 year: 2003 end-page: 504 – volume: 48 start-page: 4236 year: 2010 end-page: 4247 article-title: A multiresolution markovian fusion model for the color visualization of hyperspectral images publication-title: IEEE Transactions on Geoscience and Remote Sensing – start-page: 65 year: 2013 end-page: 72 – volume: 14 start-page: 70 year: 2012 end-page: 77 article-title: Interactive visual exploration and analysis of multivariate simulation data publication-title: Computing in Science & Engineering – volume: 3 start-page: 239 year: 2003 ident: e_1_2_8_7_2 article-title: Interactive feature specification for focus+ context visualization of complex simulation data publication-title: VisSym – ident: e_1_2_8_34_2 doi: 10.1109/PACIFICVIS.2010.5429612 – start-page: 117 volume-title: Proceedings of the Seventh Joint Eurographics/IEEE VGTC conference on Visualization year: 2005 ident: e_1_2_8_6_2 – ident: e_1_2_8_28_2 doi: 10.1109/TVCG.2012.105 – ident: e_1_2_8_16_2 doi: 10.1109/TVCG.2011.261 – ident: e_1_2_8_26_2 doi: 10.1111/cgf.12934 – ident: e_1_2_8_36_2 doi: 10.1109/PacificVis.2013.6596130 – ident: e_1_2_8_21_2 – ident: e_1_2_8_18_2 doi: 10.1109/PacificVis.2013.6596129 – ident: e_1_2_8_33_2 doi: 10.1007/978-3-540-85567-5_50 – ident: e_1_2_8_25_2 doi: 10.1366/000370210792434350 – volume: 14 start-page: 55 year: 2003 ident: e_1_2_8_19_2 article-title: A Survey of Spectral Unmixing Algorithms publication-title: Lincoln Laboratory Journal – ident: e_1_2_8_11_2 doi: 10.1109/WSC.2007.4419665 – ident: e_1_2_8_22_2 doi: 10.1109/TVCG.2002.1021579 – ident: e_1_2_8_31_2 doi: 10.1007/s11664-009-0803-6 – ident: e_1_2_8_37_2 doi: 10.1016/j.cag.2012.02.007 – ident: e_1_2_8_9_2 doi: 10.1007/978-3-642-12522-5 – ident: e_1_2_8_2_2 doi: 10.1111/cgf.12365 – ident: e_1_2_8_13_2 doi: 10.1201/b10629 – ident: e_1_2_8_12_2 – ident: e_1_2_8_8_2 doi: 10.1109/MCSE.2012.27 – ident: e_1_2_8_35_2 doi: 10.1109/TVCG.2006.164 – ident: e_1_2_8_24_2 doi: 10.1016/j.carbon.2016.01.001 – ident: e_1_2_8_30_2 doi: 10.1109/ISSCS.2005.1509878 – ident: e_1_2_8_15_2 doi: 10.1021/nl061702a – ident: e_1_2_8_20_2 doi: 10.1109/TVCG.2012.110 – ident: e_1_2_8_23_2 doi: 10.1109/VISUAL.2003.1250412 – ident: e_1_2_8_27_2 doi: 10.1109/TGRS.2010.2051553 – ident: e_1_2_8_32_2 doi: 10.1016/j.sab.2006.12.002 – ident: e_1_2_8_3_2 doi: 10.1137/040616024 – ident: e_1_2_8_17_2 – ident: e_1_2_8_4_2 doi: 10.1109/IGARSS.2011.6049397 – ident: e_1_2_8_14_2 doi: 10.1109/TVCG.2009.199 – ident: e_1_2_8_29_2 doi: 10.1109/TVCG.2007.70591 – ident: e_1_2_8_5_2 doi: 10.1039/C4AN01061B – ident: e_1_2_8_10_2
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Snippet	2D Confocal Raman Microscopy (CRM) data consist of high dimensional per‐pixel spectral data of 1000 bands and allows for complex spectral and spatial‐spectral... 2D Confocal Raman Microscopy (CRM) data consist of high dimensional per-pixel spectral data of 1000 bands and allows for complex spectral and spatial-spectral...
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SubjectTerms	Aqueous solutions Band spectra Categories and Subject Descriptors (according to ACM CCS) Data transfer (computers) Discrimination I.3.3 [Computer Graphics]: Display algorithm I.4.10 [Image Processing and Computer Vision]: Multidimensional I.5.3 [Pattern Recognition]: Algorithms Interactive systems Materials handling Materials selection Properties (attributes) Raman spectroscopy Spectroscopic analysis Task complexity Transfer functions Visual discrimination Visualization
Title	Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design
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