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Mid-infrared hyperspectral microscopy with broadband 1-GHz dual frequency combs

APL Photonics, ISSN: 2378-0967, Vol: 9, Issue: 10
2024
  • 1
    Citations
  • 0
    Usage
  • 5
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    5
  • Mentions
    1
    • News Mentions
      1
      • 1

Most Recent News

Studies from University of Colorado in the Area of Photonics Described (Mid-infrared Hyperspectral Microscopy With Broadband 1-ghz Dual Frequency Combs)

2024 NOV 11 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- Data detailed on Science - Photonics have been presented.

Article Description

Mid-infrared microscopy is an important tool for biological analyses, allowing a direct probe of molecular bonds in their low energy landscape. In addition to the label-free extraction of spectroscopic information, the application of broadband sources can provide a third dimension of chemical specificity. However, to enable widespread deployment, mid-infrared microscopy platforms need to be compact and robust while offering high speed, broad bandwidth, and high signal-to-noise ratio. In this study, we experimentally showcase the integration of a broadband, high-repetition-rate dual-comb spectrometer (DCS) in the mid-infrared range with a scanning microscope. We employ a set of 1-GHz mid-infrared frequency combs, demonstrating their capability for high-speed and broadband hyperspectral imaging of polymers and ovarian tissue. The system covers 1000 cm at ν = 2941 cm with 12.86 kHz spectra acquisition rate and 5 µm spatial resolution. Taken together, our experiments and analysis elucidate the trade-off between bandwidth and speed in DCS as it relates to microscopy. This provides a roadmap for the future advancement and application of high-repetition-rate DCS hyperspectral imaging.

Bibliographic Details

Peter Chang; Scott A. Diddams; Ragib Ishrak; Rohith Reddy; Nazanin Hoghooghi; Scott Egbert; Gregory B. Rieker; Stephanie Swartz; Daniel Lesko; Jens Biegert

AIP Publishing

Physics and Astronomy; Computer Science

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