1996
DOI: 10.1016/0168-1656(95)00148-4
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Morphological recognition of fungal spore germination by a computer-aided image analysis and its application to antifungal activity evaluation

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Cited by 20 publications
(11 citation statements)
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“…Traditional germination assays, in which germination is evaluated by microscopic observations, are too labor-intensive to be used in screening large compound libraries for discovery of new antifungal agents. While computer-aided image analysis has been used as an alternative to visual evaluation of spores (15), it requires sophisticated equipment and has not been widely applied. In contrast, our spore adhesion assays provide a simple, rapid, and efficient means to evaluate inhibition of spore germination within a few hours and are amenable to high-throughput screening.…”
Section: Discussionmentioning
confidence: 99%
“…Traditional germination assays, in which germination is evaluated by microscopic observations, are too labor-intensive to be used in screening large compound libraries for discovery of new antifungal agents. While computer-aided image analysis has been used as an alternative to visual evaluation of spores (15), it requires sophisticated equipment and has not been widely applied. In contrast, our spore adhesion assays provide a simple, rapid, and efficient means to evaluate inhibition of spore germination within a few hours and are amenable to high-throughput screening.…”
Section: Discussionmentioning
confidence: 99%
“…Many researchers have reported that microscopic examination and measurement of absorbance of preheated spores during the early stage of incubation revealed gradual swelling and loss of refractiveness. These morphological changes correspond to the initiation of spore germination and the decrease in absorbance of the spore suspension (Rousseau et al 1972;Al-Khayat et al 1987;Oh et al 1996;Cho et al 1997). The results shown in Fig.…”
Section: Discussionmentioning
confidence: 99%
“…In Oh et al (1996), a binary-class classification system is developed to distinguish the activity of fungi spores. In this work, microscopic videos are first converted into individual images (frames), then image segmentation, four shape features and morphological decision values are applied.…”
Section: Overview Of MM Classificationmentioning
confidence: 99%
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Section: Application Domain Introductionmentioning
confidence: 99%