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Near-infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus Fusarium.
Anal Bioanal Chem. 2012 Oct; 404(6-7):1759-69.AB

Abstract

Near-infrared (NIR) hyperspectral imaging was used to study three strains of each of three Fusarium spp. (Fusarium subglutinans, Fusarium proliferatum and Fusarium verticillioides) inoculated on potato dextrose agar in Petri dishes after either 72 or 96 h of incubation. Multivariate image analysis was used for cleaning the images and for making principal component analysis (PCA) score plots and score images and local partial least squares discriminant analysis (PLS-DA) models. The score images, including all strains, showed how different the strains were from each other. Using classification gradients, it was possible to show the change in mycelium growth over time. Loading line plots for principal component (PC) 1 and PC2 explained variation between the different Fusarium spp. as scattering and chemical differences (protein production), respectively. PLS-DA prediction results (including only the most important strain of each species) showed that it was possible to discriminate between species with F. verticillioides the least correctly predicted (between 16 and 47 % pixels correctly predicted). For F. subglutinans, 78-100 % pixels were correctly predicted depending on the training and test sets used. Similarly, the percentage correctly predicted values of F. proliferatum were 60-80 %. Visualisation of the mycelium radial growth in the PCA score images was made possible due to the use of NIR hyperspectral imaging. This is not possible with bulk spectroscopy in the visible or NIR regions.

Authors+Show Affiliations

Department of Food Science, Stellenbosch University, Matieland (Stellenbosch), South Africa.No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22903431

Citation

Williams, Paul J., et al. "Near-infrared (NIR) Hyperspectral Imaging and Multivariate Image Analysis to Study Growth Characteristics and Differences Between Species and Strains of Members of the Genus Fusarium." Analytical and Bioanalytical Chemistry, vol. 404, no. 6-7, 2012, pp. 1759-69.
Williams PJ, Geladi P, Britz TJ, et al. Near-infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus Fusarium. Anal Bioanal Chem. 2012;404(6-7):1759-69.
Williams, P. J., Geladi, P., Britz, T. J., & Manley, M. (2012). Near-infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus Fusarium. Analytical and Bioanalytical Chemistry, 404(6-7), 1759-69. https://doi.org/10.1007/s00216-012-6313-z
Williams PJ, et al. Near-infrared (NIR) Hyperspectral Imaging and Multivariate Image Analysis to Study Growth Characteristics and Differences Between Species and Strains of Members of the Genus Fusarium. Anal Bioanal Chem. 2012;404(6-7):1759-69. PubMed PMID: 22903431.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Near-infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus Fusarium. AU - Williams,Paul J, AU - Geladi,Paul, AU - Britz,Trevor J, AU - Manley,Marena, Y1 - 2012/08/18/ PY - 2012/05/15/received PY - 2012/07/30/accepted PY - 2012/07/23/revised PY - 2012/8/21/entrez PY - 2012/8/21/pubmed PY - 2013/3/13/medline SP - 1759 EP - 69 JF - Analytical and bioanalytical chemistry JO - Anal Bioanal Chem VL - 404 IS - 6-7 N2 - Near-infrared (NIR) hyperspectral imaging was used to study three strains of each of three Fusarium spp. (Fusarium subglutinans, Fusarium proliferatum and Fusarium verticillioides) inoculated on potato dextrose agar in Petri dishes after either 72 or 96 h of incubation. Multivariate image analysis was used for cleaning the images and for making principal component analysis (PCA) score plots and score images and local partial least squares discriminant analysis (PLS-DA) models. The score images, including all strains, showed how different the strains were from each other. Using classification gradients, it was possible to show the change in mycelium growth over time. Loading line plots for principal component (PC) 1 and PC2 explained variation between the different Fusarium spp. as scattering and chemical differences (protein production), respectively. PLS-DA prediction results (including only the most important strain of each species) showed that it was possible to discriminate between species with F. verticillioides the least correctly predicted (between 16 and 47 % pixels correctly predicted). For F. subglutinans, 78-100 % pixels were correctly predicted depending on the training and test sets used. Similarly, the percentage correctly predicted values of F. proliferatum were 60-80 %. Visualisation of the mycelium radial growth in the PCA score images was made possible due to the use of NIR hyperspectral imaging. This is not possible with bulk spectroscopy in the visible or NIR regions. SN - 1618-2650 UR - https://www.unboundmedicine.com/medline/citation/22903431/Near_infrared__NIR__hyperspectral_imaging_and_multivariate_image_analysis_to_study_growth_characteristics_and_differences_between_species_and_strains_of_members_of_the_genus_Fusarium_ L2 - https://dx.doi.org/10.1007/s00216-012-6313-z DB - PRIME DP - Unbound Medicine ER -