Anales del Jardín Botánico de Madrid, Vol 62, No 1 (2005)

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


https://doi.org/10.3989/ajbm.2005.v62.i1.33

Javier Diéguez-Uribeondo
Department of Mycology, Real Jardín Botánico, Madrid, Spain

Juan C. Hernández-Crespo
Department of Mycology, Real Jardín Botánico, Madrid, Spain

Raquel Cortés
Department of Research and Development. Solex Inc. , Madrid, Spain

Fernando López
Department of Research and Development. Solex Inc. , Madrid, Spain

José L. Pech
Department of Research and Development. Solex Inc. , Madrid, Spain

Abstract


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.

Keywords


automated analysis; fungal growth; hypha; hyphoid model; image analysis; morphogenesis; Saprolegnia; videomicroscopy

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