Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design
Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design
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DOI：
10.1111/cgf.13183
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发表时间：
2017-06
影响因子：
2.5
通讯作者：
C. Schikora;Markus Plack;R. Bornemann;P. Bolívar;A. Kolb
中科院分区：
文献类型：
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作者：
C. Schikora;Markus Plack;R. Bornemann;P. Bolívar;A. Kolb
2D共焦拉曼显微镜(CRM)数据由1000个波段的高维每像素光谱数据组成，允许执行复杂的光谱和空间光谱分析任务，即在材料识别、材料厚度和空间材料分布方面。目前，对CRM数据的可视化分析通常采用简单的积分方法，这些数据在各个方面的分辨能力都受到限制。
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.