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Multiscale characterization of myelin distribution with polarized THG microscopy

  • Institut Polytechnique de Paris
  • PSL Research University
  • AP-HP

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Myelin is essential for axonal conduction and metabolic support. To better understand its role in health and disease, it is necessary to establish accurate methods for in situ mapping of myelin at scales ranging from submicrometer to centimeters. Third-harmonic generation (THG) microscopy has recently been proposed as an efficient label-free method to visualize myelin in thick and living tissue. However, the contrast mechanism of THG from myelinated axons is complex and poorly described, which has limited the development of THG as a quantitative probe of myelin distribution. Here, we present a systematic characterization and modeling of polarization-resolved THG (pTHG) signals from individual axons as a function of their diameter and myelin thickness, and we show that pTHG can be used to derive myelin scores in several biological systems. First, we confirm the sensitivity and specificity of the THG contrast for myelinated axons in mouse brain tissue and its ability to detect isolated micrometer-sized axons oriented both in-plane and out-of-plane. We then present a detailed characterization of the pTHG contrast of small and large axons in live zebrafish larvae at different developmental stages, and we demonstrate that pTHG detects early axon development in vivo. We show that classical models of coherent multiphoton microscopy fail to reproduce pTHG profiles of axons because they neglect myelin-induced optical aberrations, and we establish a numerical strategy based on finite-difference time-domain calculations that can accurately relate pTHG signal profiles to axonal diameter and myelin thickness. Finally, we illustrate the relevance of pTHG microscopy for characterizing myelin distribution at different scales in fixed mouse and human brain tissue.

Original languageEnglish
Pages (from-to)1122-1138
Number of pages17
JournalOptica
Volume12
Issue number7
DOIs
Publication statusPublished - 20 Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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