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Evaluation Of Automated Threshold Selection Methods For Accurately Sizing Microscopic Fluorescent Cells By Image-Analysis, Me Sieracki, Se Reichenbach, Kl Webb
Evaluation Of Automated Threshold Selection Methods For Accurately Sizing Microscopic Fluorescent Cells By Image-Analysis, Me Sieracki, Se Reichenbach, Kl Webb
VIMS Articles
The accurate measurement of bacterial and protistan cell biomass is necessary for understanding their population and trophic dynamics in nature. Direct measurement of fluorescently stained cells is often the method of choice. The tedium of making such measurements visually on the large numbers of cells required has prompted the use of automatic image analysis for this purpose. Accurate measurements by image analysis require an accurate, reliable method of segmenting the image, that is, distinguishing the brightly fluorescing cells from a dark background. This is commonly done by visually choosing a threshold intensity value which most closely coincides with the outline …