Application of quantitative second-harmonic generation imaging to dynamic systems

Kabir, Mohammad

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https://hdl.handle.net/2142/49574 Copy

Description

Title

Application of quantitative second-harmonic generation imaging to dynamic systems

Author(s)

Kabir, Mohammad

Issue Date

2014-05-30T16:50:40Z

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

Toussaint, Kimani C.

Department of Study

Mechanical Sci & Engineering

Discipline

Mechanical Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• nonlinear microscopy
• Second harmonic generation
• Image analysis

Abstract

The purpose of this thesis is to report the development of a quantitative second harmonic generation technique that quantifies the 2 dimensional spatial orientation of collagen fiber samples under dynamic conditions. The technique is demonstrated both for a well aligned tendon sample and a randomly aligned, sparsely distributed collagen scaffold sample. For a fixed signal-to-noise ratio, the applicability of this technique is confirmed for various window sizes (pixel sizes) as well as with using a gridded overlay map that allows for the correlations of fiber orientations within a given image. Additionally, we adapted a graphics processing unit (GPU) to the image analysis with an aim to provide a reduction in image processing time. There, we demonstrate the temporal advantage of the GPU-based approach by computing the number of frames analyzed per second for SHG image videos showing varying fiber orientations. In comparison to a CPU-based image analysis technique, the GPU-based system results in ~ 10x improvement in computational time. This work has direct impact to in vivo biological studies by incorporating simultaneous SHG image acquisition and analysis. The adaptation of a GPU to the analysis also introduces this approach to other quantitative, nonlinear imaging techniques.

Graduation Semester

2014-05

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http://hdl.handle.net/2142/49574

Copyright and License Information

Copyright 2014 Mohammad Kabir

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