Iván Coto Hernández1, Wenlong Yang2, Suresh Mohan1, Nate Jowett1. 1. Surgical Photonics and Engineering Laboratory, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts. 2. Center for Advanced Imaging, Harvard University, Cambridge, Massachusetts.
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.
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.
Authors: Zenaide M N Quezado; Sayuri Kamimura; Meghann Smith; Xunde Wang; Michael R Heaven; Sirsendu Jana; Sebastian Vogel; Patricia Zerfas; Christian A Combs; Luis E F Almeida; Quan Li; Martha Quezado; Iren Horkayne-Szakaly; Penelope A Kosinski; Shaoxia Yu; Unnati Kapadnis; Charles Kung; Lenny Dang; Paul Wakim; William A Eaton; Abdu I Alayash; Swee Lay Thein Journal: Blood Cells Mol Dis Date: 2022-03-12 Impact factor: 2.372
Authors: Sebastian Vogel; Sayuri Kamimura; Taruna Arora; Meghann L Smith; Luis E F Almeida; Christian A Combs; Swee Lay Thein; Zenaide M N Quezado Journal: Biochem Biophys Res Commun Date: 2021-04-05 Impact factor: 3.322