Depth-Resolved Localization Microangiography in the NIR-II Window

Quanyu Zhou, Daniil Nozdriukhin, Zhenyue Chen, Lukas Glandorf, Urs A.T. Hofmann, Michael Reiss, Lin Tang, Xosé Luís Deán-Ben, Daniel Razansky

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Detailed characterization of microvascular alterations requires high-resolution 3D imaging methods capable of providing both morphological and functional information. Existing optical microscopy tools are routinely used for microangiography, yet offer suboptimal trade-offs between the achievable field of view and spatial resolution with the intense light scattering in biological tissues further limiting the achievable penetration depth. Herein, a new approach for volumetric deep-tissue microangiography based on stereovision combined with super-resolution localization imaging is introduced that overcomes the spatial resolution limits imposed by light diffusion and optical diffraction in wide-field imaging configurations. The method capitalizes on localization and tracking of flowing fluorescent particles in the second near-infrared window (NIR-II, ≈1000–1700 nm), with the third (depth) dimension added by triangulation and stereo-matching of images acquired with two short-wave infrared cameras operating in a dual-view mode. The 3D imaging capability enabled with the proposed method facilitates a detailed visualization of microvascular networks and an accurate blood flow quantification. Experiments performed in tissue-mimicking phantoms demonstrate that high resolution is preserved up to a depth of 4 mm in a turbid medium. Transcranial microangiography of the entire murine cortex and penetrating vessels is further demonstrated at capillary level resolution.

Original languageEnglish
Article number2204782
JournalAdvanced Science
Volume10
Issue number1
DOIs
StatePublished - 4 Jan 2023
Externally publishedYes

Keywords

  • fluorescence microscopy
  • localization imaging
  • microangiography
  • second near-infrared spectrum
  • stereovision

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