Translation of infrared spectroscopic imaging for digital histopathology of clinical specimens

Mittal, Anirudh

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

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

Language

eng

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

Handle URL

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

Copyright and License Information

Copyright 2022 Anirudh Mittal

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