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Nova · Professor Researcher · re-ranking top 20…

Kenn Oldham

Verified

University of Michigan · Mechanical Engineering

Active 2002–2024

h-index20
Citations1.3k
Papers16541 last 5y
Funding$5.7M
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Research topics

  • Computer Science
  • Artificial Intelligence
  • Materials science
  • Computer vision
  • Physics
  • Nanotechnology
  • Optics

Selected publications

  • Ultra-Compact Microsystems-Based Confocal Endomicroscope

    IEEE Transactions on Medical Imaging · 2020 · 28 citations

    • Computer Science
    • Artificial Intelligence
    • Computer Science

    Point-of-care medical diagnosis demands immediate feedback on tissue pathology. Confocal endomicroscopy can provide real-time in vivo images with histology-like features. The working channel in medical endoscopes are becoming smaller in dimension. Microsystems methods can produce tiny mechanical scanners. We demonstrate a flexible fiber instrument for in vivo imaging as an endoscope accessory. The optical path is folded on-axis to reduce length while allowing the beam to expand and achieve a numerical aperture of 0.41. A high-speed parametric resonance mirror produces large deflection angles > 13°, and is mounted on a 2 mm diameter chip designed with clamp structures for reduced space. A compact lens assembly provides diffraction-limited lateral and axial resolution of 1.5 and [Formula: see text], respectively. A working distance of [Formula: see text] and field-of-view of [Formula: see text] m are achieved. Miniature apparatus is fabricated to assemble and align the scanhead components. The optics and scanner are packaged in a distal tip with 2.4 mm diameter and 10 mm rigid length. These dimensions allow the endomicroscope to pass forward easily through the 2.8 mm diameter working channel in medical endoscopes commonly used in clinical practice. Fluorescence images are collected in vivo at 10 frames per second in the colon of genetically-engineered mice that spontaneously develop adenomas. A FITC-labeled peptide heterodimer is administered intravenously to provide specific contrast. Sub-cellular structures are visualized to distinguish pre-malignant from normal mucosa. These results demonstrate use of microsystems methods to produce an ultra-compact instrument with sufficiently small dimensions for broad use.

Recent grants

Frequent coauthors

  • Thomas D. Wang

    56 shared
  • Haijun Li

    43 shared
  • Xiyu Duan

    China Medical University

    31 shared
  • Miki Lee

    University of Michigan–Ann Arbor

    29 shared
  • Ahmad Shirazi

    University of Michigan–Ann Arbor

    21 shared
  • Jongsoo Choi

    University of Michigan–Ann Arbor

    19 shared
  • Zhen Qiu

    19 shared
  • Gaoming Li

    State Key Laboratory for Modification of Chemical Fibers and Polymer Materials

    18 shared
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