Literature DB >> 20804639

Dilution and magnification effects on image analysis applications in activated sludge characterization.

D P Mesquita1, O Dias, R A V Elias, A L Amaral, E C Ferreira.   

Abstract

The properties of activated sludge systems can be characterized using image analysis procedures. When these systems operate with high biomass content, accurate sludge characterization requires samples to be diluted. Selection of the best image acquisition magnification is directly related to the amount of biomass screened. The aim of the present study was to survey the effects of dilution and magnification on the assessment of aggregated and filamentous bacterial content and structure using image analysis procedures. Assessments of biomass content and structure were affected by dilutions. Therefore, the correct operating dilution requires careful consideration. Moreover, the acquisition methodology comprising a 100× magnification allowed data on aggregated and filamentous biomass to be determined and smaller aggregates to be identified and characterized, without affecting the accuracy of lower magnifications regarding biomass representativeness.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20804639     DOI: 10.1017/S1431927610093785

Source DB:  PubMed          Journal:  Microsc Microanal        ISSN: 1431-9276            Impact factor:   4.127


  3 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

2.  Microbial-based evaluation of foaming events in full-scale wastewater treatment plants by microscopy survey and quantitative image analysis.

Authors:  Cristiano Leal; António Luís Amaral; Maria de Lourdes Costa
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-30       Impact factor: 4.223

3.  A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.

Authors:  Jiawei Zhang; Chen Li; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao; Tao Jiang; Marcin Grzegorzek
Journal:  Arch Comput Methods Eng       Date:  2022-09-06       Impact factor: 8.171

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.