Towards an automated analysis of video-microscopy images of fungal morphogenesis

Autor: Javier Diéguez-Uribeondo, Juan C. Hernández-Crespo, Raquel Cortés, Fernando López, José L. Pech
Jazyk: English<br />Spanish; Castilian
Rok vydání: 2005
Předmět:
Zdroj: Anales del Jardín Botánico de Madrid, Vol 62, Iss 1, Pp 101-107 (2005)
Druh dokumentu: article
ISSN: 0211-1322
1988-3196
DOI: 10.3989/ajbm.2005.v62.i1.33
Popis: Fungal morphogenesis is an exciting field of cell biology and several mathematical models have been developed to describe it. These models require experimental evidences to be corroborated and, therefore, there is a continuous search for new microscopy and image analysis techniques. In this work, we have used a Canny-edge-detector based technique to automate the generation of hyphal profiles and calculation of morphogenetic parameters such as diameter, elongation rates and hyphoid fitness. The results show that the data obtained with this technique are similar to published data generated with manualbased tracing techniques and that have been carried out on the same species or genus. Thus, we show that application of edge detector-based technique to hyphal growth represents an efficient and accurate method to study hyphal morphogenesis. This represents the first step towards an automated analysis of videomicroscopy images of fungal morphogenesis.
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