Jiang Yuqing, Xue Mingcheng, Ou Lu, Wu Huiquan, Yang Jianhui, Zhang Wangzihan, Zhou Zhuomin, Gao Qiang, Lin Bin, Kong Weiwei, Chen Songyue, Sun Daoheng
Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, Fujian, China.
Guangdong Provincial People's Hospital, Guangzhou, 510080, Guangdong, China.
Tissue Eng Regen Med. 2025 Feb;22(2):211-224. doi: 10.1007/s13770-024-00688-4. Epub 2025 Jan 13.
The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time.
We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed.
Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the Lucas-Kanade (LK) optical flow method, and provided better stability and accuracy in the results.
This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.
心肌细胞（CMs）的收缩行为，尤其是收缩同步性，是反映其成熟度和对药物反应的关键因素。更宽的视野有助于观察到更明显的同步性差异，但随之而来的是更大的计算量，这需要更强的计算能力或更长的计算时间。
我们基于物理和光度学原理，提出了一种将光场亮度变化与心脏组织收缩状态直接关联的方法（CVB方法），用于在宽视野下进行快速视频分析以获得收缩参数，如周期、收缩传播方向和速度。
通过对在排列和随机纳米纤维支架上培养的用绿色荧光蛋白（GFP）标记的人诱导多能干细胞（hiPSC）衍生的CMs进行视频分析，证明CVB方法能够在宽视野下获得收缩参数，并量化感兴趣区域（ROIs）内的收缩方向和速度。与轮廓跟踪方法之一的Lucas-Kanade（LK）光流方法相比，CVB方法所需的计算时间更少，并且在结果中提供了更好的稳定性和准确性。
该方法计算量较小，受运动模糊和失焦条件的影响较小，为在宽视野下准确快速分析心脏组织收缩同步性提供了一种潜在工具，而无需更强大的硬件。
