FibreTracker: Open-source 3D Python Tool for Fibre Tracking

FibreTracker is a Python-based interactive tool for tracking individual fibres in a 3D volume. The package contains functions that can detect fibre centres in each slice and the detected centres can be visualized interactively over slices using a slider attached to the visualizer. Once centres are detected, the function can track individual fibres across the volume for characterizing fibre microstructure in the composite. FibreTracker follows two steps; fibre detection detects a peak for each fibre and using the coordinate of those peaks, fibres are tracked by connecting the detected point in each slice. The FibreTracker tool is a user-friendly tool that requires few inputs from the user and comes with a Jupyter notebook for use-case examples, and documentation of the package documentation. Moreover, the method is robust to noise, computationally efficient, and requires no annotation or training. It can track fibres of different scan qualities even when fibre boundaries are not visible. Overall, this tool provides a simple and accessible approach to image-based characterization of fibrous materials.