Chemometrics, hyperspectral images and plant tissue: Do we use all the information in our data?

Authors

  • Adrián Gómez-Sánchez Universitat de Barcelona
  • Mónica Marro Barcelona Institute of Science and Technology (BIST). Institut de Ciències Fotòniques (ICFO)
  • María Marsal Barcelona Institute of Science and Technology (BIST). Institut de Ciències Fotòniques (ICFO)
  • Pablo Loza-Álvarez Barcelona Institute of Science and Technology (BIST). Institut de Ciències Fotòniques (ICFO)
  • Anna de Juan Universitat de Barcelona. Grup de Quimiometria

Keywords:

Hyperspectral imaging, image fusion, chemometrics, plant tissue.

Abstract

Discovering the nature and location of chemical compounds in a biological tissue provides crucial information about the functionality of the compounds and the tissue. This information is provided by hyperspectral imaging (HI) techniques, which associate spectral information with the pixel position in the sample. These techniques, however, generate a large amount of complex data that must be processed with chemometric tools, such as the Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) method, to enable a proper interpretation of the measurement. In addition, the complementary information provided by different spectroscopic hyperspectral imaging platforms can be combined using suitable image fusion strategies to obtain a more complete description of the biological tissue. This paper seeks to show the potential of the combination of hyperspectral imaging and chemometric tools to gather information associated with biological tissues. For this purpose, a study performed on several rice leaf and root microsections using Raman and fluorescence image fusion is described.

Keywords: Hyperspectral imaging, image fusion, chemometrics, plant tissue.

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Author Biography

Adrián Gómez-Sánchez, Universitat de Barcelona



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