Multidimensional quantification of subcellular morphology of Saccharomyces cerevisiae using CalMorph, the high-throughput image-processing program.
To quantitatively and multidimensionally assess the morphology of subcellular organelles and protein complexes in budding yeast cells, we applied our recently developed image-processing program, CalMorph. In this study, mitochondria, vacuole, endoplasmic reticulum, Golgi body, endosome, spindle pole body, and septin morphology were evaluated. In addition to the originally developed 501 parameters for cell wall morphology, nuclear DNA, and actin, we proposed an additional 610 parameters for the morphology of subcellular components, resulting in a total of 1111 quantitative parameters to evaluate the morphology of budding yeast. This approach enables one to conduct more detailed phenotypic studies, which is advantageous in yeast functional genomics.