Literature DB >> 25864556

Automated analysis of filamentous microbial morphology with AnaMorf.

David J Barry1, Gwilym A Williams1, Cecilia Chan2.   

Abstract

The morphological quantification of filamentous microbes represents an important analytical technique in the optimization of bioprocesses involving such organisms, given the demonstrated links between morphology and metabolite yield. However, in many studies, much of this quantification has required some degree of manual intervention, if it has been conducted at all, burdening biotechnologists with a time-consuming process and potentially introducing bias into analyses. Here, software for the automated quantification of filamentous microbes is presented, implemented as a plug-in for the widely used, freely available image analysis package, ImageJ. The software, together with all related source code, documentation and test data, is freely available to the community via an online repository.
© 2015 American Institute of Chemical Engineers.

Keywords:  ImageJ; filamentous microbes; image analysis; morphology

Mesh:

Year:  2015        PMID: 25864556     DOI: 10.1002/btpr.2087

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  6 in total

1.  mycelyso - high-throughput analysis of Streptomyces mycelium live cell imaging data.

Authors:  Christian Carsten Sachs; Joachim Koepff; Wolfgang Wiechert; Alexander Grünberger; Katharina Nöh
Journal:  BMC Bioinformatics       Date:  2019-09-04       Impact factor: 3.169

2.  A FIJI macro for quantifying pattern in extracellular matrix.

Authors:  Esther Wershof; Danielle Park; David J Barry; Robert P Jenkins; Antonio Rullan; Anna Wilkins; Karin Schlegelmilch; Ioannis Roxanis; Kurt I Anderson; Paul A Bates; Erik Sahai
Journal:  Life Sci Alliance       Date:  2021-01-27

3.  Morphological growth pattern of Phanerochaete chrysosporium cultivated on different Miscanthus x giganteus biomass fractions.

Authors:  Hassan Khalil; Estelle Legin; Bernard Kurek; Patrick Perre; Behnam Taidi
Journal:  BMC Microbiol       Date:  2021-11-17       Impact factor: 3.605

4.  MICAL2 enhances branched actin network disassembly by oxidizing Arp3B-containing Arp2/3 complexes.

Authors:  Chiara Galloni; Davide Carra; Jasmine V G Abella; Svend Kjær; Pavithra Singaravelu; David J Barry; Naoko Kogata; Christophe Guérin; Laurent Blanchoin; Michael Way
Journal:  J Cell Biol       Date:  2021-06-09       Impact factor: 10.539

5.  HyphaTracker: An ImageJ toolbox for time-resolved analysis of spore germination in filamentous fungi.

Authors:  Michael Brunk; Sebastian Sputh; Sören Doose; Sebastian van de Linde; Ulrich Terpitz
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

6.  Matrix feedback enables diverse higher-order patterning of the extracellular matrix.

Authors:  Esther Wershof; Danielle Park; Robert P Jenkins; David J Barry; Erik Sahai; Paul A Bates
Journal:  PLoS Comput Biol       Date:  2019-10-28       Impact factor: 4.475

  6 in total

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