Lawrence Berkeley National Laboratory
FibriPy: A software environment for fiber analysis from 3D micro-computed tomography data
- Author(s): Perciano, T
- Ushizima, D
- Krishnan, H
- Parkinson, D
- Sethian, J
- et al.
Analyzing digital images containing fibrillar structures is important across many science domains, from cytoskeleton detection in biology to filament detection in materials science. This paper introduces FibriPy, a software tool that enables accurate fiber detection from 3D imagery. We provide examples using microcomputed tomography (μ-CT), an imaging technique used for inspection of new materials samples. Our results show that FibriPy can be used for quality control of materials in the manufacturing processes.