Mynar Emily R, Kinahan Matthew W, Thali Markus, Symeonides Menelaos
University of Vermont.
Res Sq. 2024 Jan 18:rs.3.rs-2451513. doi: 10.21203/rs.3.rs-2451513/v1.
Migrate3D is a cell migration analysis tool whose purpose is to computationally process positional cell tracking data generated via other image acquisition/analysis software and generate biologically meaningful results. The functionalities of Migrate3D include step-based calculations of each cell track, single-cell-level summary statistics, mean squared displacement analysis, and machine learning-based evaluation of the entire dataset and subpopulations of cells found within it. The parameters calculated within Migrate3D have been previously developed and validated by other groups, and were selected to facilitate extraction of the maximum depth of information possible from input datasets. Variables are user-adjustable to enable customized analyses of diverse motility patterns and cell types, both in three-and two-dimensional timelapse data. Independent of any particular upstream image analysis or cell tracking software, Migrate3D only needs positional data over time to execute the suite of calculations. This presents a unique opportunity to standardize and streamline cell migration analysis.
Migrate3D是一种细胞迁移分析工具，其目的是通过计算处理由其他图像采集/分析软件生成的细胞位置跟踪数据，并生成具有生物学意义的结果。Migrate3D的功能包括基于步长的每个细胞轨迹计算、单细胞水平的汇总统计、均方位移分析，以及基于机器学习对整个数据集和其中发现的细胞亚群进行评估。Migrate3D中计算的参数先前已由其他团队开发和验证，并被选来促进从输入数据集中提取尽可能多的深度信息。变量可由用户调整，以便在三维和二维延时数据中对不同的运动模式和细胞类型进行定制分析。Migrate3D独立于任何特定的上游图像分析或细胞跟踪软件，只需要随时间的位置数据来执行这套计算。这为标准化和简化细胞迁移分析提供了一个独特的机会。
