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

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dc.contributor.authorWilliams, Paul J.
dc.contributor.authorGeladi, Paul
dc.contributor.authorBritz, Trevor J.
dc.contributor.authorManley, Marena
dc.date.accessioned2013-02-14T07:29:27Z
dc.date.available2013-02-14T07:29:27Z
dc.date.issued2012-08
dc.descriptionPublication of this article was funded by the Stellenbosch University Open Access Fund.en_ZA
dc.descriptionThe original publication is available at http://link.springer.com/journal/216en_ZA
dc.description.abstractNear-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.en_ZA
dc.description.sponsorshipStellenbosch Universityen_ZA
dc.description.versionPublishers' versionen_ZA
dc.identifier.citationWilliams, 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, 1759-1769, doi:10.1007/s00216-012-6313-z.en_ZA
dc.identifier.issn1618-2642 (print)
dc.identifier.issn1618-2650 (online)
dc.identifier.otherdoi:10.1007/s00216-012-6313-z
dc.identifier.urihttp://hdl.handle.net/10019.1/79359
dc.language.isoen_ZAen_ZA
dc.publisherSpringerLinken_ZA
dc.rights.holderAuthor retain copyrighten_ZA
dc.subjectNear-infrared hyperspectral imagingen_ZA
dc.subjectFusariumen_ZA
dc.subjectPCAen_ZA
dc.subjectPLS-DAen_ZA
dc.subjectClassification gradientsen_ZA
dc.titleNear infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus fusariumen_ZA
dc.typeArticleen_ZA
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