MatLab codes for Tracking Analysis and Shannon Entropy Analysis

The code is adapted from the code the authors used to generate the data published in the associated papers. Minor improvements to condence the code have been made since the publication. The code is for fitting the time-resolved microscopy data (movies) of bacterial motility with the method detailed in the paper. The mircoscopy data (movies) is not included in this dataset due to very large size of the datasets.To run the code, you should run either the MATLAB script 'basicTrackingScript.m' or 'basedShannonEntroScript.m' to peform Tracking Analysis or Shannon Entropy analysis, respectively. Details on how to assign filenames of the movies to be analysis and how to provide additional information, such as times corresponding to relevant video frames, isi indicated with comments in the script 'basicTrackingScript.m' or 'basedShannonEntroScript.m'. A table of the MatLab Code Dependencies of the functions used in the code is included.

本代码改编自作者用于生成已发表于相关论文中数据集的原始代码。论文发表后，我们对代码进行了小幅优化以精简其体量。本代码旨在通过论文中详述的方法，拟合细菌运动性的时间分辨显微数据（影像序列）。由于该显微数据（影像序列）的体量过大，本数据集未包含该部分内容。若需运行本代码，可选择运行MATLAB脚本'basicTrackingScript.m'以执行轨迹追踪分析，或运行'basedShannonEntroScript.m'以完成香农熵（Shannon Entropy）分析。有关如何为待分析影像序列分配文件名，以及如何提供相关补充信息（如对应各视频帧的时间戳）的详细说明，均已在上述两个脚本的注释中给出。本数据集还附带了代码中所用函数的MATLAB代码依赖表。