3D cellular-resolution imaging in arteries using few-mode interferometry

Biwei Yin, Zhonglie Piao, Kensuke Nishimiya, Chulho Hyun, Joseph A. Gardecki, Adam Mauskapf, Farouc A. Jaffer, Guillermo J. Tearney

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


Cross-sectional visualisation of the cellular and subcellular structures of human atherosclerosis in vivo is significant, as this disease is fundamentally caused by abnormal processes that occur at this scale in a depth-dependent manner. However, due to the inherent resolution-depth of focus tradeoff of conventional focusing optics, today’s highest-resolution intravascular imaging technique, namely, optical coherence tomography (OCT), is unable to provide cross-sectional images at this resolution through a coronary catheter. Here, we introduce an intravascular imaging system and catheter based on few-mode interferometry, which overcomes the depth of focus limitation of conventional high-numerical-aperture objectives and enables three-dimensional cellular-resolution intravascular imaging in vivo by a submillimetre diameter, flexible catheter. Images of diseased cadaver human coronary arteries and living rabbit arteries were acquired with this device, showing clearly resolved cellular and subcellular structures within the artery wall, such as individual crystals, smooth muscle cells, and inflammatory cells. The capability of this technology to enable cellular-resolution, cross-sectional intravascular imaging will make it possible to study and diagnose human coronary disease with much greater precision in the future.

Original languageEnglish
Article number104
JournalLight: Science and Applications
Issue number1
Publication statusPublished - 2019 Dec 1
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics


Dive into the research topics of '3D cellular-resolution imaging in arteries using few-mode interferometry'. Together they form a unique fingerprint.

Cite this