Literature DB >> 10592529

Biomass quantification by image analysis.

M N Pons1, H Vivier.   

Abstract

Microbiologists have always rely on microscopy to examine microorganisms. When microscopy, either optical or electron-based, is coupled to quantitative image analysis, the spectrum of potential applications is widened: counting, sizing, shape characterization, physiology assessment, analysis of visual texture, motility studies are now easily available for obtaining information on biomass. In this chapter the main tools used for cell visualization as well as the basic steps of image treatment are presented. General shape descriptors can be used to characterize the cell morphology, but special descriptors have been defined for filamentous microorganisms. Physiology assessment is often based on the use of fluorescent dyes. The quantitative analysis of visual texture is still limited in bioengineering but the characterization of the surface of microbial colonies may open new prospects, especially for cultures on solid substrates. In many occasions, the number of parameters extracted from images is so large that data-mining tools, such as Principal Components Analysis, are useful for summarizing the key pieces of information.

Mesh:

Year:  2000        PMID: 10592529     DOI: 10.1007/3-540-48773-5_5

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  5 in total

Review 1.  Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review.

Authors:  J C Costa; D P Mesquita; A L Amaral; M M Alves; E C Ferreira
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-29       Impact factor: 4.223

Review 2.  The immunohistochemical profile of basal cell nevus syndrome-associated and sporadic odontogenic keratocysts: a systematic review and meta-analysis.

Authors:  Eleni-Marina Kalogirou; Grigorios Thermos; Vasileios Zogopoulos; Spyros Foutadakis; Ioannis Michalopoulos; Marios Agelopoulos; Konstantinos I Tosios
Journal:  Clin Oral Investig       Date:  2021-03-17       Impact factor: 3.573

3.  Estimating cell count and distribution in labeled histological samples using incremental cell search.

Authors:  Oscar E Meruvia-Pastor; Jung Soh; Eric J Schmidt; Julia C Boughner; Mei Xiao; Heather A Jamniczky; Benedikt Hallgrímsson; Christoph W Sensen
Journal:  Int J Biomed Imaging       Date:  2011-05-24

4.  Dynamic species classification of microorganisms across time, abiotic and biotic environments-A sliding window approach.

Authors:  Frank Pennekamp; Jason I Griffiths; Emanuel A Fronhofer; Aurélie Garnier; Mathew Seymour; Florian Altermatt; Owen L Petchey
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

5.  Image processing for identification and quantification of filamentous bacteria in in situ acquired images.

Authors:  Philipe A Dias; Thiemo Dunkel; Diego A S Fajado; Erika de León Gallegos; Martin Denecke; Philipp Wiedemann; Fabio K Schneider; Hajo Suhr
Journal:  Biomed Eng Online       Date:  2016-06-11       Impact factor: 2.819

  5 in total

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