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（基于Python编写，调用OpenCV库，文件名为main.py）可输出原始影片（255.m4v）各帧对应的粒子XY坐标，以及标注有粒子位置圆圈的结果影片（255_result.mp4）。在粒子位移分析环节，我们以目标粒子周边的亮度分布作为匹配模板——影片图像中粒子区域的亮度显著高于其余区域，该模板的相关数据存储于255_result.txt中。经匹配检测得到的模板XY坐标，即为本帧内粒子的XY坐标。