Label-free histomorphometry of peripheral nerve by stimulated Raman spectroscopy

Muscle Nerve. 2020 Jul;62(1):137-142. doi: 10.1002/mus.26895. Epub 2020 May 8.

Abstract

Background: Conventional processing of nerve for histomorphometry is resource-intensive, precluding use in intraoperative assessment of nerve quality during nerve transfer procedures. Stimulated Raman scattering (SRS) microscopy is a label-free technique that enables rapid and high-resolution histology.

Methods: Segments of healthy murine sciatic nerve, healthy human obturator nerve, and human cross-facial nerve autografts were imaged on a custom SRS microscope. Myelinated axon quantification was performed through segmentation using a random forest machine learning algorithm in commercial software.

Results: High contrast, high-resolution imaging of nerve morphology was obtained with SRS imaging. Automated myelinated axon quantification from cross-sections of healthy human nerve imaged using SRS was achieved.

Conclusions: Herein, we demonstrate the use of a label-free technique for rapid imaging of murine and human peripheral nerve cryosections. We illustrate the potential of this technique to inform intraoperative decision-making through rapid automated quantification of myelinated axons using a machine learning algorithm.

Keywords: artificial intelligence; fluorescence; histology; nonlinear optical microscopy; peripheral nerve injuries.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Facial Nerve / anatomy & histology
  • Facial Nerve / chemistry*
  • Humans
  • Mice
  • Microscopy, Confocal / methods
  • Obturator Nerve / anatomy & histology
  • Obturator Nerve / chemistry*
  • Sciatic Nerve / anatomy & histology
  • Sciatic Nerve / chemistry*
  • Spectrum Analysis, Raman / methods*