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Title:Application of quantitative second-harmonic generation imaging to dynamic systems
Author(s):Kabir, Mohammad
Advisor(s):Toussaint, Kimani C.
Department / Program:Mechanical Sci & Engineering
Discipline:Mechanical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2014-05-30
URI:http://hdl.handle.net/2142/49574
Rights Information:Copyright 2014 Mohammad Kabir
Date Available in IDEALS:2014-05-30
Date Deposited:2014-05


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