Automated stain-free histomorphometry of peripheral nerve by contrast-enhancing techniques and artificial intelligence.

Journal: Journal of neuroscience methods
PMID: 35436515

Abstract

BACKGROUND: Traditional histopathologic evaluation of peripheral nerve using brightfield microscopy is resource-intensive, necessitating complex sample preparation. Label-free imaging techniques paired with artificial intelligence-based image reconstruction and segmentation may facilitate peripheral nerve histomorphometry.

Authors

  • Iván Coto Hernández
    Surgical Photonics & Engineering Laboratory, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA 02114, USA. Electronic address: ivan_cotohernandez@meei.harvard.edu.
  • Suresh Mohan
    Division of Otolaryngology, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
  • Nate Jowett
    Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Cambridge.

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