Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/139921
Title: Combining Hyperspectral Imaging and Chemometrics to Assess and Interpret the Effects of Environmental Stressors on the Organism at Tissue Level
Author: Olmos Peñarroja, Víctor
Marro, Mònica
Loza Álvarez, Pablo
Juan Capdevila, Anna de
Raldúa, Demetrio
Prats, Eva
Padrós, Francesc
Piña Capó, Benjamí
Tauler Ferré, Romà
Keywords: Peix zebra
Medi ambient
Efecte de la contaminació sobre els animals
Quimiometria
Imatges hiperespectrals
Zebra danio
Natural environment
Effect of pollution on animals
Chemometrics
Hyperspectral imaging
Issue Date: Mar-2018
Publisher: Wiley
Abstract: Changes on an organism by the exposure to environmental stressors may be characterized by hyperspectral images (HSI), which preserve the morphology of biological samples, and suitable chemometric tools. The approach proposed allows assessing and interpreting the effect of contaminant exposure on heterogeneous biological samples monitored by HSI at specific tissue levels. In this work, the model example used consists of the study of the effect of the exposure of chlorpyrifos-oxon on zebrafish tissues. To assess this effect, unmixing of the biological sample images followed by tissue-specific classification models based on the unmixed spectral signatures is proposed. Unmixing and classification are performed by multivariate curve resolution-alternating least squares (MCR-ALS) and partial least squares-discriminant analysis (PLS-DA), respectively. Crucial aspects of the approach are: (1) the simultaneous MCR-ALS analysis of all images from 1 population to take into account biological variability and provide reliable tissue spectral signatures, and (2) the use of resolved spectral signatures from control and exposed populations obtained from resampling of pixel subsets analyzed by MCR-ALS multiset analysis as information for the tissue-specific PLS-DA classification models. Classification results diagnose the presence of a significant effect and identify the spectral regions at a tissue level responsible for the biological change.
Note: Versió postprint del document publicat a: https://doi.org/10.1002/jbio.201700089
It is part of: Journal of Biophotonics, 2018, vol. 11, num. 3, p. e201700089
URI: http://hdl.handle.net/2445/139921
Related resource: https://doi.org/10.1002/jbio.201700089
ISSN: 1864-063X
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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