Coherent backscattering (CBS) for biosensing application
Coherent Backscattering (CBS) is an optical phenomenon that has attracted scientific attention in the recent years due to its potential application in various medical and technological domains. The phenomenon of CBS occurs when light undergoes scattering in an optically random media such as biolo...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172902 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-172902 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1729022023-12-30T16:51:14Z Coherent backscattering (CBS) for biosensing application Muhammad Rasyidil Bin Zulkifli Murukeshan Vadakke Matham School of Mechanical and Aerospace Engineering MMurukeshan@ntu.edu.sg Science::Physics::Optics and light Coherent Backscattering (CBS) is an optical phenomenon that has attracted scientific attention in the recent years due to its potential application in various medical and technological domains. The phenomenon of CBS occurs when light undergoes scattering in an optically random media such as biological tissues. The backscattered photons result in the formation of a cone like intensity pattern in the backward direction and is known as the CBS cone. CBS can provide valuable insights and understanding into the microscopic structure and properties of the medium through which the light has travelled. In this study, the research is focused on investigating the usefulness of CBS and the potential relationship between varying degrees of surface roughness (Ra) and the transport mean free path values ( ) in the biological tissues. Initial investigations were carried out on phantom tissues to explore the relationship between surface roughness and light transport, which uncovered a potential finding that support the inverse relationship between the and the scattering event on human skin. It was found that higher surface roughness led to more scattering events, resulting in a shorter value and a wider CBS cone. Building on this knowledge, the experiment was extended to actual human skin. It was observed and confirmed the same inverse relationship between the surface roughness of human skin and the values. Despite the inherent complexity of human skin, similarities were observed between phantom tissues and actual human skin. This studies sheds light on the potential for further research into the structure of human skin. This exploration of CBS could open new avenues of study and non-invasive medical diagnostic techniques. Bachelor of Engineering (Mechanical Engineering) 2023-12-30T09:34:56Z 2023-12-30T09:34:56Z 2023 Final Year Project (FYP) Muhammad Rasyidil Bin Zulkifli (2023). Coherent backscattering (CBS) for biosensing application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172902 https://hdl.handle.net/10356/172902 en B350 application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Science::Physics::Optics and light |
spellingShingle |
Science::Physics::Optics and light Muhammad Rasyidil Bin Zulkifli Coherent backscattering (CBS) for biosensing application |
description |
Coherent Backscattering (CBS) is an optical phenomenon that has attracted scientific
attention in the recent years due to its potential application in various medical and
technological domains. The phenomenon of CBS occurs when light undergoes
scattering in an optically random media such as biological tissues. The backscattered
photons result in the formation of a cone like intensity pattern in the backward
direction and is known as the CBS cone. CBS can provide valuable insights and
understanding into the microscopic structure and properties of the medium through
which the light has travelled.
In this study, the research is focused on investigating the usefulness of CBS and the
potential relationship between varying degrees of surface roughness (Ra) and the
transport mean free path values ( ) in the biological tissues.
Initial investigations were carried out on phantom tissues to explore the relationship
between surface roughness and light transport, which uncovered a potential finding
that support the inverse relationship between the and the scattering event on human
skin. It was found that higher surface roughness led to more scattering events, resulting
in a shorter value and a wider CBS cone. Building on this knowledge, the experiment
was extended to actual human skin. It was observed and confirmed the same inverse
relationship between the surface roughness of human skin and the values. Despite
the inherent complexity of human skin, similarities were observed between phantom
tissues and actual human skin. This studies sheds light on the potential for further
research into the structure of human skin. This exploration of CBS could open new
avenues of study and non-invasive medical diagnostic techniques. |
author2 |
Murukeshan Vadakke Matham |
author_facet |
Murukeshan Vadakke Matham Muhammad Rasyidil Bin Zulkifli |
format |
Final Year Project |
author |
Muhammad Rasyidil Bin Zulkifli |
author_sort |
Muhammad Rasyidil Bin Zulkifli |
title |
Coherent backscattering (CBS) for biosensing application |
title_short |
Coherent backscattering (CBS) for biosensing application |
title_full |
Coherent backscattering (CBS) for biosensing application |
title_fullStr |
Coherent backscattering (CBS) for biosensing application |
title_full_unstemmed |
Coherent backscattering (CBS) for biosensing application |
title_sort |
coherent backscattering (cbs) for biosensing application |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/172902 |
_version_ |
1787153696305446912 |