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Digital image analysis for morphological state characterization of a culture of filamentous microorganisms in production of antibiotics

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dc.title Digital image analysis for morphological state characterization of a culture of filamentous microorganisms in production of antibiotics en
dc.contributor.author Náhlík, Jan
dc.contributor.author Kukal, Jaromír
dc.contributor.author Kohout, Jan
dc.contributor.author Mareš, Jan
dc.contributor.author Hrnčiřík, Pavel
dc.contributor.author Vařacha, Pavel
dc.relation.ispartof Journal of Biomimetics Biomaterials and Biomedical Engineering
dc.identifier.issn 2296-9837 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 43
dc.citation.spage 74
dc.citation.epage 83
dc.type article
dc.language.iso en
dc.publisher Trans Tech-Scitec Publications Ltd
dc.identifier.doi 10.4028/www.scientific.net/JBBBE.43.74
dc.relation.uri https://www.scientific.net/JBBBE.43.74
dc.subject Filamentous microorganisms en
dc.subject Cell morphology en
dc.subject Digital image analysis en
dc.subject Industrial bioprocesses en
dc.subject Antibiotics production en
dc.description.abstract The paper deals with the application of specific methods of digital image analysis for the monitoring of morphological changes in cultures of filamentous microorganisms. First, a sequence of digital image preprocessing and processing steps is proposed for the treatment of microscopic images of a filamentous culture. The preprocessing step include band pass filtering by the Difference of Gaussians filter featuring a novel approach to the task of parameters tuning, as well as the optimization of image porosity and image objects separation quality. In the processing step, the resulting enhanced images are subject to morphological state characterization using a set of several standard and modified morphological parameters. Descriptions of morphological states of different complexity are then discussed varying from the standard set of mean values of parameters to the set of parameters in their full histogram of value frequencies (distribution) form. For such complex descriptions also new fashions of graphical representation of results without loss of information are compared. The potential of the proposed full description of morphological behavior of the culture is demonstrated using a set of microscopic images taken during an industrial antibiotics production cultivation using a microorganism belonging into the Streptomyces genus. Finally, the cluster analysis is proposed for further automatic quantitative classification and interpretation of complex description of metabolic states. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009486
utb.identifier.obdid 43881215
utb.identifier.scopus 2-s2.0-85076966935
utb.identifier.wok 000497982400007
utb.source J-wok
dc.date.accessioned 2019-12-20T12:39:23Z
dc.date.available 2019-12-20T12:39:23Z
dc.description.sponsorship Technology Agency of the Czech Republic
utb.contributor.internalauthor Vařacha, Pavel
utb.wos.affiliation [Jan, Nahlik; Jaromir, Kukal; Jan, Kohout; Jan, Mares; Pavel, Hrncirik] Univ Chem & Technol, Dept Comp & Control Engn, Tech 5, Prague 11628 6, Czech Republic; [Pavel, Varacha] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Department of Computing and Control Engineering, University of Chemistry and Technology, Technická 5, 116 28 Praha 6, Prague, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 760 05, Czech Republic
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