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Published on: August 18, 2022
Rapid Cellular-Resolution Skin Imaging with Optical Coherence Tomography Using All-Glass Multifocal Metasurfaces
Jingjing Zhao1, Aidan Van Vleck1, Yonatan Winetraub1,2,3,4
1Department of Structural Biology, Stanford University School of Medicine, Stanford, California94305, United States.
Metasurface technology enhances optical coherence tomography (OCT) by creating multiple focal points, significantly increasing volumetric imaging speed for noninvasive virtual biopsies. This innovation accelerates dermatological imaging and diagnosis.
Area of Science:
- Biomedical Optics
- Optical Engineering
- Materials Science
Background:
- Cellular-resolution optical coherence tomography (OCT) provides noninvasive histology-like imaging.
- High numerical aperture (N.A.) lenses in OCT limit imaging speed due to narrow depth of field, requiring dynamic focusing.
Purpose of the Study:
- To develop a metasurface platform for generating multiple axial foci to overcome OCT's depth-of-field limitation.
- To enhance volumetric OCT imaging speed for applications like rapid virtual biopsy.
Main Methods:
- Fabrication of all-glass metasurface optical elements from fused-silica wafers.
- Integration of the metasurface into a scanning OCT system to create multifocal beams.
- Evaluation of lateral resolution and volumetric acquisition speed in dermatological imaging.
Main Results:
- The metasurface platform enables flexible control over the number, position, and intensity of axial foci.
- A constant lateral resolution of 1.1 μm was maintained across all depths.
- Volumetric OCT imaging speed was tripled for dermatological imaging, with potential for 7-fold improvement.
- Distinct visualization of skin layers and diagnostic features for basal cell carcinoma was achieved.
Conclusions:
- Metasurface-based multifocal OCT significantly accelerates volumetric imaging for noninvasive virtual biopsies.
- This technology offers high resolution and compact imaging system potential.
- The approach provides valuable morphological information for dermatological diagnostics.
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