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Inside Front Cover: Combining hyperspectral imaging and chemometrics to assess and interpret the effects of environmental stressors on zebrafish eye images at tissue level (J. Biophotonics 3/2018)
Author(s) -
Olmos Víctor,
Marro Mònica,
LozaAlvarez Pablo,
Raldúa Demetrio,
Prats Eva,
Padrós Francesc,
Piña Benjamin,
Tauler Romà,
de Juan Anna
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201870133
Subject(s) - hyperspectral imaging , chemometrics , chemical imaging , partial least squares regression , pattern recognition (psychology) , artificial intelligence , multivariate statistics , linear discriminant analysis , remote sensing , computer science , biological system , environmental science , statistics , mathematics , biology , geology , machine learning
Raman images were used to study the effect of the contaminant chlorpyriphos‐oxon on zebrafish eye samples. Multivariate Curve Resolution‐Alternating Least Squares (MCR‐ALS) was used to obtain the distribution maps and spectral signatures of biological components present in the images analyzed. The use of MCRALS spectral signatures as starting information for Partial Least Squares‐Discriminant Analysis allowed statistical assessment of the effect of the contaminant at a specific tissue level. Further details can be found in the article by Víctor Olmos et al. ( e201700089 ).