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Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis

This contribution demonstrates an example of experimental automatic image analysis to detect spores prepared on microscope slides derived from trapping. The application is to monitor aerial spore counts of the entomopathogenic fungus Pandora neoaphidis • Preparation of slides for microscopy. • Image...

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Detalles Bibliográficos
Autores principales: Korsnes, Reinert, Westrum, Karin, Fløistad, Erling, Klingen, Ingeborg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4810014/
https://www.ncbi.nlm.nih.gov/pubmed/27073786
http://dx.doi.org/10.1016/j.mex.2016.03.011
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author Korsnes, Reinert
Westrum, Karin
Fløistad, Erling
Klingen, Ingeborg
author_facet Korsnes, Reinert
Westrum, Karin
Fløistad, Erling
Klingen, Ingeborg
author_sort Korsnes, Reinert
collection PubMed
description This contribution demonstrates an example of experimental automatic image analysis to detect spores prepared on microscope slides derived from trapping. The application is to monitor aerial spore counts of the entomopathogenic fungus Pandora neoaphidis • Preparation of slides for microscopy. • Image recording. • Computerised image processing where the initial part is, as usual, segmentation depending on the actual data product. Then comes identification of blobs, calculation of principal axes of blobs, symmetry operations and projection on a three parameter egg shape space.
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spelling pubmed-48100142016-04-12 Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis Korsnes, Reinert Westrum, Karin Fløistad, Erling Klingen, Ingeborg MethodsX Agricultural and Biological Science This contribution demonstrates an example of experimental automatic image analysis to detect spores prepared on microscope slides derived from trapping. The application is to monitor aerial spore counts of the entomopathogenic fungus Pandora neoaphidis • Preparation of slides for microscopy. • Image recording. • Computerised image processing where the initial part is, as usual, segmentation depending on the actual data product. Then comes identification of blobs, calculation of principal axes of blobs, symmetry operations and projection on a three parameter egg shape space. Elsevier 2016-03-17 /pmc/articles/PMC4810014/ /pubmed/27073786 http://dx.doi.org/10.1016/j.mex.2016.03.011 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Korsnes, Reinert
Westrum, Karin
Fløistad, Erling
Klingen, Ingeborg
Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis
title Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis
title_full Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis
title_fullStr Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis
title_full_unstemmed Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis
title_short Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis
title_sort computer-assisted image processing to detect spores from the fungus pandora neoaphidis
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4810014/
https://www.ncbi.nlm.nih.gov/pubmed/27073786
http://dx.doi.org/10.1016/j.mex.2016.03.011
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