Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64199
Title: Spectroscopic imaging of nanoscale human tissue for disease diagnosis
Authors: Kang, Kai Jun
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2015
Abstract: Glaucoma is a leading cause of blindness in the world, but there is currently no tool which can provide early diagnosis of it, as its exact pathogenesis is still unknown. To deal with this problem, this project focuses on creating a novel imaging technique, Spectroscopic μOCT, which enables us to view the subcellular structures of the eye, specifically a mesh-like structure named Lamina Cribrosa clearly, as it is believed to play an important role in mechanism of glaucoma. The first part of the project was on simulation to predict the ideal results of how collagen fibrils in the Lamina Cribrosa would react in response to a light source. It is discovered that the collagen fibrils selectively scatter at longer wavelengths, and an important observation would be that a larger diameter of collagen fibrils would lead to a smaller centroid value. The second part of the project emphasizes on ex-vivo tissue validation and image processing. The coloured images obtained after spectroscopic analysis were sharp and thus enables us to visualize the Lamina Cribrosa clearly.
URI: http://hdl.handle.net/10356/64199
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Final Report.pdf
  Restricted Access
2.82 MBAdobe PDFView/Open

Page view(s)

274
Updated on Sep 22, 2023

Download(s)

13
Updated on Sep 22, 2023

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.