Discrete frequency mid-infrared spectroscopic imaging using quantum cascade lasers

Yeh, Kevin

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https://hdl.handle.net/2142/105846 Copy

Description

Title

Discrete frequency mid-infrared spectroscopic imaging using quantum cascade lasers

Author(s)

Yeh, Kevin

Issue Date

2019-07-12

Director of Research (if dissertation) or Advisor (if thesis)

Bhargava, Rohit

Doctoral Committee Chair(s)

Bhargava, Rohit

Committee Member(s)

• Irudayaraj, Joseph Maria Kumar
• Pan, Dipanjan
• Kajdacsy-Balla, Andre

Department of Study

Bioengineering

Discipline

Bioengineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Date of Ingest

2019-11-26T20:56:41Z

Keyword(s)

Chemical imaging, infrared spectroscopy, quantum cascade laser

Abstract

Infrared (IR) spectroscopic imaging is an analytical technique that directly images the spatial distribution of chemical components within a sample in the absence of external contrast agents. This is especially advantageous with biological samples where the mid to far-infrared wavelength range corresponds with the vibrational modes of functional groups in many organic molecules. In recent years, the technology enabling discrete frequency infrared (DFIR) spectroscopic microscopy has undergone many substantive changes due to rapid developments in quantum cascade lasers (QCL) in terms of their output power, beam stability, and wavelength tuning range. In this dissertation, we present the research and development of several state-of-the-art microscopy systems that have advanced what was previously possible with industry standard instruments. Through drastic improvements in imaging speed and resolution, as well as reductions in noise and aberrations, our systems serve as a flexible platform with capabilities that open new avenues for research and clinical interests.

Graduation Semester

2019-08

Type of Resource

text

Permalink

http://hdl.handle.net/2142/105846

Copyright and License Information

Copyright 2019 Kevin Yeh

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