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

Authors

  • Javier Diéguez-Uribeondo Department of Mycology, Real Jardín Botánico, Madrid
  • Juan C. Hernández-Crespo Department of Mycology, Real Jardín Botánico, Madrid
  • Raquel Cortés Department of Research and Development. Solex Inc. , Madrid
  • Fernando López Department of Research and Development. Solex Inc. , Madrid
  • José L. Pech Department of Research and Development. Solex Inc. , Madrid

DOI:

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

Keywords:

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

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.

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Published

2005-06-30

How to Cite

Diéguez-Uribeondo, J., Hernández-Crespo, J. C., Cortés, R., López, F., & Pech, J. L. (2005). Towards an automated analysis of video-microscopy images of fungal morphogenesis. Anales Del Jardín Botánico De Madrid, 62(1), 101–107. https://doi.org/10.3989/ajbm.2005.v62.i1.33

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