2026-09-19T18:14:16Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/49574 2023-07-11 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Toussaint, Kimani C. Kabir, Mohammad 2014-05-30T16:50:40Z 2014-05-30T16:50:40Z 2014-05 2014-05-30T16:50:40Z 2014-05 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. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-04-28T13:02:14Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 9 Kabir_Mohammad.pdf: 1797028 bytes, checksum: 0f1145fbe4a85d3351180ad7f7e467d0 (MD5) Kabir_Mohammad.pdf: 1772229 bytes, checksum: 9aa92c1432fe326f58897bc0bc096b1b (MD5) Media 4.3.mp4: 17508893 bytes, checksum: bd4ff96fbbff159e5fd8d0c56a10b30b (MD5) Media 4.2.mp4: 14287989 bytes, checksum: 59835e504f12c0413263cb1df84a92d2 (MD5) Media 4.1.mp4: 13013276 bytes, checksum: ffcd47f286f6bbf3ca97c7b0b62add85 (MD5) Media 3.4.mp4: 2395504 bytes, checksum: 67733debe5233d62925e929c17b6c5c8 (MD5) Media 3.3.mp4: 1691105 bytes, checksum: 5b1cea25a9c7b4ab9f3a2064155acc43 (MD5) Media 3.2.mp4: 1786294 bytes, checksum: c7b71f5b3fddb348273f6dc6fac359e0 (MD5) Media 3.1.mp4: 2249950 bytes, checksum: cab345806c6e23ed612b54b5697e9aae (MD5) Made available in DSpace on 2014-05-30T16:50:40Z (GMT). No. of bitstreams: 9 Mohammad_Kabir.pdf: 1760624 bytes, checksum: eb8520750776f0a491333fc91e77609c (MD5) Media 4.3.mp4: 17508893 bytes, checksum: bd4ff96fbbff159e5fd8d0c56a10b30b (MD5) Media 4.2.mp4: 14287989 bytes, checksum: 59835e504f12c0413263cb1df84a92d2 (MD5) Media 4.1.mp4: 13013276 bytes, checksum: ffcd47f286f6bbf3ca97c7b0b62add85 (MD5) Media 3.4.mp4: 2395504 bytes, checksum: 67733debe5233d62925e929c17b6c5c8 (MD5) Media 3.3.mp4: 1691105 bytes, checksum: 5b1cea25a9c7b4ab9f3a2064155acc43 (MD5) Media 3.2.mp4: 1786294 bytes, checksum: c7b71f5b3fddb348273f6dc6fac359e0 (MD5) Media 3.1.mp4: 2249950 bytes, checksum: cab345806c6e23ed612b54b5697e9aae (MD5) license.txt: 4064 bytes, checksum: 1495dac7c3b2abc57536f09a51b05db7 (MD5) http://hdl.handle.net/2142/49574 en Copyright 2014 Mohammad Kabir nonlinear microscopy Second harmonic generation Image analysis Application of quantitative second-harmonic generation imaging to dynamic systems text Mechanical Sci & Engineering 1917 Mechanical Engineering 0133 University of Illinois at Urbana-Champaign Thesis M.S. MS:Mechanical Engineerng -UIUC 10KS0133MS