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This research evaluates the cell growth stages in a culture of Saccharomyces cerevisiae yeast using image processing algorithm. This algorithm is able to detect intracellular patterns, cell size and other parameters which determines the growth stage of cells (young, mature, in division, old, dead cell) using image clustering methods. The images studied in the present work were captured using a regular...
This work evaluates the possibility of measuring the biomass concentration and diagnosing the cell viability in non-stained cultures of yeast cells through image processing techniques. The algorithm presented in this study is validated on Saccharomyces cerevisiae cells. It processes the images acquired off-line on a bright field microscope, in order to enhance the features of the cells, to assess...
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