Mid infrared spectroscopic imaging and tomography

Reddy, Rohith

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https://hdl.handle.net/2142/44759 Copy

Description

Title

Mid infrared spectroscopic imaging and tomography

Author(s)

Reddy, Rohith

Issue Date

2013-05-28T19:18:36Z

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

Bhargava, Rohit

Doctoral Committee Chair(s)

Bhargava, Rohit

Committee Member(s)

• Carney, Paul S.
• Do, Minh N.
• Ahuja, Narendra

Department of Study

Bioengineering

Discipline

Bioengineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• Fourier Transform Infrared (FT-IR) spectroscopic Imaging
• Mid-Infrared Spectroscopic Tomography
• Spectroscopic Imaging
• Spectroscopic Tomography
• mid-Infrared (Mid-IR)
• Spectroscopy
• Imaging

Abstract

Fourier Transform Infrared (FT-IR) Spectroscopic Imaging is an optical technique that simultaneously provides morphological (two dimensional) and mid-infrared spectral (one dimensional) information for a specimen under observation. In this dissertation, we develop a new instrument that extends the capabilities of FT-IR imaging to provide three dimensional morphological information along with mid-infrared spectral information on the microscopic length scale. We first demonstrate that spectroscopic information from the mid-infrared can be used to perform histologic recognition and cancer detection in prostate, breast and skin cancer tissues. These studies utilize FT-IR imaging data of thin tissue slices from several hundred patients. The segmentation algorithms and instrumentation used are described in detail. We perform a rigorous analysis of instrumentation and data so as to understand the limits and limitations of current state-of-the-art instrumentation. We then propose a new instrument that adds a new dimension of information to current instruments and establish the new state-of-the-art in mid-infrared imaging. The theoretical basis of such instrumentation is presented in detail and techniques for visualization of four dimensional data are outlined.

Graduation Semester

2013-05

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http://hdl.handle.net/2142/44759

Copyright and License Information

Copyright 2013 Rohith Reddy

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