Kavli Affiliate: Feng Wang
| First 5 Authors: Ruixiang Song, Ruixiang Song, , ,
| Summary:
Metalenses, owing to their ultra-thin planar structures, present a promising
solution for reducing endoscopic invasiveness. However, achieving high-quality
imaging with minimal invasiveness (short focal length of metalens) remains a
critical challenge. This paper presents a deep learning assisted metalens with
a 1mm focal length tailored for coherent fiber bundle, constituting the least
invasive metalens-CFB system reported to date. To overcome the increased
chromatic dispersion and aberrations associated with high NA metalens, we
compensate for lateral etching at the base of the nanopillars by adjusting the
thickness of a sacrificial hard mask. This approach enables the fabrication of
nanopillars with small cross sections and high aspect ratios, featuring nearly
vertical sidewalls (~90deg), thereby enhancing the phase accuracy of the
metalens. Experimental validation using the metalens-CFB system demonstrates
that the metalens achieves an expanded field of view of 48.3deg and a depth
of field exceeding 125 mm. This work establishes a new paradigm for
ultra-minimally invasive endoscopic imaging.
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