University of Illinois Urbana-Champaign

Translation of infrared spectroscopic imaging for digital histopathology of clinical specimens

Mittal, Anirudh

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https://hdl.handle.net/2142/117520

Description

Title
Translation of infrared spectroscopic imaging for digital histopathology of clinical specimens
Author(s)
Mittal, Anirudh
Issue Date
2022-08-08
Director of Research (if dissertation) or Advisor (if thesis)
Bhargava, Rohit
Doctoral Committee Chair(s)
Bhargava, Rohit
Committee Member(s)
  • Irudayaraj, Joseph
  • Nie, Shuming
  • Higham, Anna
Department of Study
Bioengineering
Discipline
Bioengineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Infrared spectroscopic imaging, Digital histopathology
Abstract
Over the past several decades, infrared (IR) spectroscopic imaging has been widely proposed as a potential diagnostic tool for histopathological studies in research and for human disease evaluation. This imaging technique couples the chemical information provided by the absorbance of IR light and the structural information provided by optical microscopy. This information can be used as a molecular and spatial barcode of the measured sample. Since the IR absorption provides image contrast and uniquely identifies the sample’s chemistry without dyes or prior knowledge of composition, it enables a systematic analysis with enhanced ability to extract diagnostic information. However, most IR spectroscopic imaging approaches require significant time for data acquisition and processing. Limiting the amount of spectral data needed has significantly reduced the acquisition time, but its clinical feasibility is yet to be demonstrated. Therefore, the major goal of my dissertation work is carefully designing a measurement protocol with a high signal-to-noise ratio (SNR) and adequate pixel sizes that are sufficient for digital assessment of clinical samples in an intraoperative time frame. The work addresses two key clinical problems by developing a non-destructive technique (1) for intraoperative imaging of cavity shave margins (CSM) in breast conserving surgery (BCS) and (2) for detection and subtyping of cardiac amyloidosis with high sensitivity.
Graduation Semester
2022-12
Type of Resource
Thesis
Copyright and License Information
Copyright 2022 Anirudh Mittal

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