Literature DB >> 21812778

Microscopic characterisation of filamentous microbes: towards fully automated morphological quantification through image analysis.

D J Barry1, G A Williams.   

Abstract

Mycelial morphology is a critically important process property in industrial fermentations of filamentous microorganisms, as particular phenotypes are associated with maximum productivity. The morphological form that develops in a given process results from the combination of various environmental factors, together with the genotype of the organism itself. The design of systems capable of rapidly and accurately characterising morphology within a given process represents a significant challenge to biotechnologists, as the complex phenotypes that are manifested are often not easily quantified. Over the last two decades, the proliferation of high-power personal computers and high-resolution digital cameras has enabled scientists to apply digital image analysis to this challenge. Although several fully automated systems have been designed for this purpose, manual analysis of images is still commonplace, together with qualitative, subjective descriptions of morphologies. This review describes the complex morphologies that can develop in fermentations of filamentous microbes and the application of microscopy and image analysis techniques to the quantification of such structures.
© 2011 The Authors Journal of Microscopy © 2011 Royal Microscopical Society.

Mesh:

Year:  2011        PMID: 21812778     DOI: 10.1111/j.1365-2818.2011.03506.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  5 in total

1.  SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures.

Authors:  Joost Willemse; Ferhat Büke; Dino van Dissel; Sanne Grevink; Dennis Claessen; Gilles P van Wezel
Journal:  Antonie Van Leeuwenhoek       Date:  2017-09-15       Impact factor: 2.271

2.  Live Monitoring and Analysis of Fungal Growth, Viability, and Mycelial Morphology Using the IncuCyte NeuroTrack Processing Module.

Authors:  Sebastian Wurster; Pappanaicken R Kumaresan; Nathaniel D Albert; Paul J Hauser; Russell E Lewis; Dimitrios P Kontoyiannis
Journal:  mBio       Date:  2019-05-28       Impact factor: 7.867

3.  Autophagy is important to the acidogenic metabolism of Aspergillus niger.

Authors:  Baljinder Kaur; Narayan S Punekar
Journal:  PLoS One       Date:  2019-10-11       Impact factor: 3.240

4.  Hyphal network whole field imaging allows for accurate estimation of anastomosis rates and branching dynamics of the filamentous fungus Podospora anserina.

Authors:  J Dikec; A Olivier; C Bobée; Y D'Angelo; R Catellier; P David; F Filaine; S Herbert; Ch Lalanne; H Lalucque; L Monasse; M Rieu; G Ruprich-Robert; A Véber; F Chapeland-Leclerc; E Herbert
Journal:  Sci Rep       Date:  2020-02-21       Impact factor: 4.379

5.  Fungal feature tracker (FFT): A tool for quantitatively characterizing the morphology and growth of filamentous fungi.

Authors:  Guillermo Vidal-Diez de Ulzurrun; Tsung-Yu Huang; Ching-Wen Chang; Hung-Che Lin; Yen-Ping Hsueh
Journal:  PLoS Comput Biol       Date:  2019-10-31       Impact factor: 4.475

  5 in total

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