Tissue imaging for cancer detection using NIR autofluorescence

Stavros G Demos; Mike Staggs; Regina Gandour-Edwards; Rajen Ramsamooj; Ralph De Vere White

doi:10.1117/12.465260

Tissue imaging for cancer detection using NIR autofluorescence

Stavros G Demos, Mike Staggs, Regina Gandour-Edwards, Rajen Ramsamooj, Ralph De Vere White

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Near infrared imaging using elastic light scattering and tissue fluorescence under long-wavelength laser excitation are explored for cancer detection. Various types of normal and malignant human tissue samples were utilized in this investigation. A set of images of each tissue sample is recorded. These images are then compared with the histopathology of the tissue sample to reveal the optical fingerprint characteristics suitable for cancer detection. The experimental results indicate that the above approaches can help image and differentiate cancer from normal tissue.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	31-34
Number of pages	4
Volume	4613
DOIs	https://doi.org/10.1117/12.465260
State	Published - 2002
Event	Optical Biopsy IV - San Jose, CA, United States Duration: Jan 21 2002 → Jan 23 2002

Other

Other	Optical Biopsy IV
Country	United States
City	San Jose, CA
Period	1/21/02 → 1/23/02

Keywords

Backscattering
Polarization
Tissue autofluorescence
Tissue imaging

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

Access to Document

10.1117/12.465260

Fingerprint Dive into the research topics of 'Tissue imaging for cancer detection using NIR autofluorescence'. Together they form a unique fingerprint.

Cite this

@inproceedings{b7b12669e454416c842fd0c800ec8e0c,

title = "Tissue imaging for cancer detection using NIR autofluorescence",

abstract = "Near infrared imaging using elastic light scattering and tissue fluorescence under long-wavelength laser excitation are explored for cancer detection. Various types of normal and malignant human tissue samples were utilized in this investigation. A set of images of each tissue sample is recorded. These images are then compared with the histopathology of the tissue sample to reveal the optical fingerprint characteristics suitable for cancer detection. The experimental results indicate that the above approaches can help image and differentiate cancer from normal tissue.",

keywords = "Backscattering, Polarization, Tissue autofluorescence, Tissue imaging",

author = "Demos, {Stavros G} and Mike Staggs and Regina Gandour-Edwards and Rajen Ramsamooj and {De Vere White}, Ralph",

year = "2002",

doi = "10.1117/12.465260",

language = "English (US)",

volume = "4613",

pages = "31--34",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Optical Biopsy IV ; Conference date: 21-01-2002 Through 23-01-2002",

}

TY - GEN

T1 - Tissue imaging for cancer detection using NIR autofluorescence

AU - Demos, Stavros G

AU - Staggs, Mike

AU - Gandour-Edwards, Regina

AU - Ramsamooj, Rajen

AU - De Vere White, Ralph

PY - 2002

Y1 - 2002

N2 - Near infrared imaging using elastic light scattering and tissue fluorescence under long-wavelength laser excitation are explored for cancer detection. Various types of normal and malignant human tissue samples were utilized in this investigation. A set of images of each tissue sample is recorded. These images are then compared with the histopathology of the tissue sample to reveal the optical fingerprint characteristics suitable for cancer detection. The experimental results indicate that the above approaches can help image and differentiate cancer from normal tissue.

AB - Near infrared imaging using elastic light scattering and tissue fluorescence under long-wavelength laser excitation are explored for cancer detection. Various types of normal and malignant human tissue samples were utilized in this investigation. A set of images of each tissue sample is recorded. These images are then compared with the histopathology of the tissue sample to reveal the optical fingerprint characteristics suitable for cancer detection. The experimental results indicate that the above approaches can help image and differentiate cancer from normal tissue.

KW - Backscattering

KW - Polarization

KW - Tissue autofluorescence

KW - Tissue imaging

UR - http://www.scopus.com/inward/record.url?scp=0036051217&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036051217&partnerID=8YFLogxK

U2 - 10.1117/12.465260

DO - 10.1117/12.465260

M3 - Conference contribution

AN - SCOPUS:0036051217

VL - 4613

SP - 31

EP - 34

BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Optical Biopsy IV

Y2 - 21 January 2002 through 23 January 2002

ER -