Application of quantitative second-harmonic generation imaging to dynamic systems

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Kabir, Mohammad

Contributors dc:contributor

• Toussaint, Kimani C.

• nonlinear microscopy
• Second harmonic generation
• Image analysis

Statement dc:rights

• Copyright 2014 Mohammad Kabir

Language dc:language

en

Handle dc:identifier

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

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/49574