Data analysis in cell tracking involves several steps:
Image Acquisition: High-resolution images or videos of labeled cells are captured over a period. Image Processing: Images are processed to enhance visibility and contrast, making it easier to identify and track individual cells. Tracking Algorithms: Computational algorithms are used to follow the movement of cells across different frames. These can be based on particle tracking, machine learning, or deep learning techniques. Quantitative Analysis: The data is analyzed to extract meaningful parameters such as speed, direction, and patterns of movement.
