Chemical Profiling of the Plant Cell Wall through Raman Microspectroscopy

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This paper presents a computational framework for chemical pro.ling of the plant cell wall through the Raman spectroscopy. The system enables query of known spectral signatures and clustering of spectral data based on intrinsic properties. As a result, presence and relative concentration of speci.c chemical bonds can be quanti.ed. The primary contribution of this paper is in representation of raman pro.le in terms of .uorescence background and multiscale peak detection at each grid point (voxel). Such a representation allows ef.cient spatial segmentation based on the coupling between high-level salient properties and low-level symbolic representation at each voxel. The high-level salient ... continued below

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Han, Ju; Singh, Seema; Sun, Lan; Simmons, Blake; Auer, Manfred & Parvin, Bahram March 2, 2010.

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This paper presents a computational framework for chemical pro.ling of the plant cell wall through the Raman spectroscopy. The system enables query of known spectral signatures and clustering of spectral data based on intrinsic properties. As a result, presence and relative concentration of speci.c chemical bonds can be quanti.ed. The primary contribution of this paper is in representation of raman pro.le in terms of .uorescence background and multiscale peak detection at each grid point (voxel). Such a representation allows ef.cient spatial segmentation based on the coupling between high-level salient properties and low-level symbolic representation at each voxel. The high-level salient properties refer to preferred peaks and their attributes for the entire image. The low-level symbolic representations are based on .uorescence background, spectral peak locations, and their attributes. We present results on a corn stover tissue section that is imaged through Raman microscopy, and the results are consistent with the literature. In addition, automatic clustering indicates several distinct layers of the cell walls with different spectral signatures.

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  • IEEE International Symposium on Biomedical Imaging: from Nano to Macro

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  • Report No.: LBNL-3863E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 986872
  • Archival Resource Key: ark:/67531/metadc1014397

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  • March 2, 2010

Added to The UNT Digital Library

  • Oct. 14, 2017, 8:36 a.m.

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  • Oct. 17, 2017, 6:04 p.m.

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Han, Ju; Singh, Seema; Sun, Lan; Simmons, Blake; Auer, Manfred & Parvin, Bahram. Chemical Profiling of the Plant Cell Wall through Raman Microspectroscopy, article, March 2, 2010; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc1014397/: accessed October 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.