Automated fiber-type-specific cross-sectional area assessment and myonuclei counting in skeletal muscle
Automated fiber-type-specific cross-sectional area assessment and myonuclei counting in skeletal muscle
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DOI：
10.1152/japplphysiol.00848.2013
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发表时间：
2013-12-01
影响因子：
3.3
通讯作者：
Yang, Lin
中科院分区：
文献类型：
--
作者：
Liu, Fujun;Fry, Christopher S.;Yang, Lin
骨骼肌是一种特殊的适应性组织，它影响了哺乳动物40%的身体质量。骨骼肌不仅在运动中起作用，而且在产热和代谢动态平衡中也起着重要作用。因此，表征骨骼肌的结构和功能特性在生物医学研究的许多方面都很重要，从肌病到康复科学，再到旨在提高面对慢性病和老龄化的生活质量的运动干预。在本文中，我们着重于肌肉的三个重要形态特征的自动量化：1)肌纤维类型组成；2)肌纤维类型特定横截面积；3)肌核含量和位置。实验证明，所提出的针对纤维类型的自动图像分析方法和肌核自动计数方法是快速、准确和可靠的。
Skeletal muscle is an exceptionally adaptive tissue that compromises 40% of mammalian body mass. Skeletal muscle functions in locomotion, but also plays important roles in thermogenesis and metabolic homeostasis. Thus characterizing the structural and functional properties of skeletal muscle is important in many facets of biomedical research, ranging from myopathies to rehabilitation sciences to exercise interventions aimed at improving quality of life in the face of chronic disease and aging. In this paper, we focus on automated quantification of three important morphological features of muscle: 1) muscle fiber-type composition; 2) muscle fiber-type-specific cross-sectional area, and 3) myonuclear content and location. We experimentally prove that the proposed automated image analysis approaches for fiber-type-specific assessments and automated myonuclei counting are fast, accurate, and reliable.