An analysis modality for vascular structures combining tissue-clearing technology and topological data analysis

• Published in: Nature communications Vol. 13; no. 1; pp. 5239 - 17
• Main Authors: Takahashi, Kei, Abe, Ko, Kubota, Shimpei I., Fukatsu, Noriaki, Morishita, Yasuyuki, Yoshimatsu, Yasuhiro, Hirakawa, Satoshi, Kubota, Yoshiaki, Watabe, Tetsuro, Ehata, Shogo, Ueda, Hiroki R., Shimamura, Teppei, Miyazono, Kohei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12.09.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 14; 14/1; 14/5; 631/114/1564; 631/1647/245/2221; 64; 64/60; Animal models; Animals; Blood; Blood vessels; Brain - diagnostic imaging; Clearing; Computational neuroscience; Data Analysis; Evaluation; Feature extraction; Humanities and Social Sciences; Image resolution; Imaging, Three-Dimensional - methods; Learning algorithms; Lymphatic system; Lymphatic Vessels - diagnostic imaging; Machine learning; Mathematical models; Medical imaging; Mice; multidisciplinary; Neuroimaging; Science; Science (multidisciplinary); Signal classification; Signal processing; Technology; Three dimensional imaging; Topology

The blood and lymphatic vasculature networks are not yet fully understood even in mouse because of the inherent limitations of imaging systems and quantification methods. This study aims to evaluate the usefulness of the tissue-clearing technology for visualizing blood and lymphatic vessels in adult...