Literature DB >> 3890741

Image analysis method for the rapid counting of Saccharomyces cerevisiae cells.

P J Costello, P R Monk.   

Abstract

An image analysis system which incorporates a microscope, video camera, monitor, and Apple computer and which uses image area to count Saccharomyces cerevisiae cells is described and evaluated. Yeast cell suspensions of densities of up to 100 X 10(6) cells per ml can be counted when viewed in the counting chamber of a hemacytometer. The yeast image area measured depends upon the light intensity used to illuminate the yeast cells, the sharpness of the image focused on the monitor, and the grey level selected when scanning the digitized image on the monitor of the Apple computer, all of which can be controlled. The image area also depends upon the yeast strain and medium in which the culture is grown, but it is not affected by the concentration of sugar or ethanol in which the yeast cells are suspended. Yeast growth measured by image analysis can be calibrated to give results similar to those obtained with hemacytometer counting. Yeast cells can be counted in the presence of high cell densities of bacteria by adjusting the grey level at which the digitized image is scanned.

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Year:  1985        PMID: 3890741      PMCID: PMC238459          DOI: 10.1128/aem.49.4.863-866.1985

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  1 in total

1.  Commercial image analysers and the characterization of microscopical images.

Authors:  S Bradbury
Journal:  J Microsc       Date:  1983-08       Impact factor: 1.758

  1 in total
  2 in total

1.  A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.

Authors:  Jiawei Zhang; Chen Li; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao; Tao Jiang; Marcin Grzegorzek
Journal:  Artif Intell Rev       Date:  2021-09-29       Impact factor: 9.588

Review 2.  Hantavirus Infection during Pregnancy.

Authors:  Deng-Hui Lu; Hong Jiang; Jian-Qi Lian
Journal:  Virol Sin       Date:  2020-10-19       Impact factor: 4.327

  2 in total

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