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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.
Abstract

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.

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