Digital Image Analysis of Yeast Single Cells Growing in Two Different Oxygen Concentrations to Analyze the Population Growth and to Assist Individual-Based Modeling.

摘要: Nowadays control of the growth Saccharomyces to obtain biomass or cellular wall components is crucial for specific industrial applications. The general aim this contribution deal with experimental data obtained from yeast cells and cultures attempt integration two levels information, individual population, progress in biotechnological processes by means overall analysis set data, assist improvement an individual-based model, namely, INDISIM-Saccha. Populations S. cerevisiae growing liquid batch culture, aerobic microaerophilic conditions, were studied. A digital images was taken during population growth, a protocol treatment analyses established. piecewise linear model Buchanan adjusted temporal evolutions populations determine kinetic parameters changes phases. In parallel, all analyzed, values direct morphological parameters, such as area, perimeter, major diameter, minor derived ones, circularity elongation, obtained. Graphical numerical methods descriptive statistics applied these characterize phases budding state both inferential statistical used compare diverse groups achieved. Oxidative metabolism medium oxygen available low initial sugar concentration can be into account order greater number larger cells. Morphological analyzed statistically identify which most useful discrimination different states, according and/or phase, conditions. use subsequent modeling work then discussed compared simulation results generated INDISIM-Saccha, allowed us advance development illustrated utility at observation needs logic behind microbial model.