Model-based quantitative combinatorial optical microscopy for extracting clinical imaging biomarkers

Bower, Andrew

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https://hdl.handle.net/2142/73084 Copy

Description

Title

Model-based quantitative combinatorial optical microscopy for extracting clinical imaging biomarkers

Author(s)

Bower, Andrew

Issue Date

2015-01-21

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

Boppart, Stephen A.

Department of Study

Electrical & Computer Eng

Discipline

Electrical & Computer Engr

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Multimodal Microscopy
• Multiphoton Imaging
• Image Analysis

Abstract

In recent years, many noninvasive, high-resolution biomedical optical imaging techniques based on unique, yet complementary, contrast mechanisms have emerged. While each imaging modality is able to elucidate certain properties of the particular sample under study, an integrated approach in which all modalities are acquired in a simultaneous, co-registered manner can prove advantageous in obtaining a more complete understanding of the sample under study. While this multimodal approach to biomedical imaging is beginning to find more widespread use, thus far most applications of these techniques have been purely qualitative, ignoring the incredibly dense, multidimensional datasets acquired. This thesis presents the framework and several applications of a quantitative model-based combinatorial analysis method. The analysis technique developed provides a direct link between multimodal image contrast and physiological biomarkers. Applications include identification of tissue constituents in fixed tissue slices and classification of cell death mechanisms in a living engineered tissue sample.

Graduation Semester

2014-12

Permalink

http://hdl.handle.net/2142/73084

Copyright and License Information

Copyright 2014 Andrew Bower

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