Abstract
In order to elucidate the mechanism of heart disease, there is an urgent need for three-dimensional analysis of cardiomyocytes using a computer. However, microscopic images contain cells other than cardiomyocytes, so the cells must be classified before analysis. Cardiomyocytes are characterized by a relatively low volume fraction of cell nuclei in the cytoplasm compared to other cells. In this study, these features will be used to extract cell nuclei, cytoplasm and vascular regions from fluorescence microscopy images of the heart of newborn mice and classify cardiomyocytes and other cells based on volume ratio. The extracted blood vessels and cardiomyocytes were analyzed in normal mice and genetically modified mice. As a result of the experiment, a difference was observed between the two, and it was found that the genetically modified mouse had a larger number of blood vessel branches and a larger area of blood vessels in contact with cells. This result is consistent with the expected tendency and is considered to be valid in the analysis. We believe that this research will be part of the research to elucidate the mechanisms of blood vessels and cells in the myocardium by improving the accuracy in the future.
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Takematsu, A., Migita, M., Toda, M., Arima, Y. (2021). Study on 3D Extraction and Analysis of Blood Vessels and Cardiomyocytes on Neonatal Murine. In: Jeong, H., Sumi, K. (eds) Frontiers of Computer Vision. IW-FCV 2021. Communications in Computer and Information Science, vol 1405. Springer, Cham. https://doi.org/10.1007/978-3-030-81638-4_10
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