Image-processing software for detecting particles moving in micro-pier structure driven by the contractions of cardiomyocyte bridge

This program (main.py, OpenCV, written by Python) provides the XY-position of particles in each frame of the original movie (255.m4v) and a movie with circles indicating the particle positions (255_result.mp4). For the analysis of particle displacement, we used the distribution of brightness around the target particle as a template, where the area of the particle in a movie image is brighter than the other area (255_result.txt). The detected XY-position of the template was determined as the XY-position of the particle in the frame.

本程序（main.py，由Python编写的OpenCV程序）提供了原始电影（255.m4v）中每帧粒子的XY位置，以及显示粒子位置的圆形标记的电影（255_result.mp4）。在分析粒子位移的过程中，我们以目标粒子周围的亮度分布作为模板，其中电影图像中粒子所在区域的亮度高于其他区域（255_result.txt）。检测到的模板XY位置被确定为帧中粒子的XY位置。