Fluorescence lifetime estimation using a dynamic vision sensor

Fengqiang Li; Nathan Matsuda; Marc Sebastian Walton; Oliver Strides Cossairt

doi:10.1117/12.2262153

Fluorescence lifetime estimation using a dynamic vision sensor

Fengqiang Li^*, Nathan Matsuda, Marc Sebastian Walton, Oliver Strides Cossairt

^*Corresponding author for this work

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

Abstract

A current focus of art conservation research seeks to accurately identify materials, such as oil paints or pigments, used in a work of art. Since many of these materials are fluorescent, measuring the fluorescence lifetime following an excitation pulse is a useful non-contact, quantitative method to identify pigments. In this project, we propose a simple method using a dynamic vision sensor to efficiently characterize the fluorescence lifetime of a common pigment named Egyptian Blue, which is consistent with x-ray techniques. We believe our fast, compact and cost-effective method for fluorescence lifetime analysis is useful in art conservation research and potentially a broader range of applications in chemistry and materials science.

Original language	English (US)
Title of host publication	Computational Imaging II
Editors	Amit Ashok, Lei Tian, Abhijit Mahalanobis, Jonathan C. Petruccelli, Kenneth S. Kubala
Publisher	SPIE
ISBN (Electronic)	9781510609457
DOIs	https://doi.org/10.1117/12.2262153
State	Published - 2017
Event	Computational Imaging II 2017 - Anaheim, United States Duration: Apr 9 2017 → Apr 10 2017

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10222
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	Computational Imaging II 2017
Country/Territory	United States
City	Anaheim
Period	4/9/17 → 4/10/17

Keywords

Computational imaging
Fluorescent and luminescent materials
Imaging systems

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2262153

Cite this

Li, F., Matsuda, N., Walton, M. S., & Cossairt, O. S. (2017). Fluorescence lifetime estimation using a dynamic vision sensor. In A. Ashok, L. Tian, A. Mahalanobis, J. C. Petruccelli, & K. S. Kubala (Eds.), Computational Imaging II Article 102220N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10222). SPIE. https://doi.org/10.1117/12.2262153

@inproceedings{e7f53fd6a9004c0aba5733b182918e9c,

title = "Fluorescence lifetime estimation using a dynamic vision sensor",

abstract = "A current focus of art conservation research seeks to accurately identify materials, such as oil paints or pigments, used in a work of art. Since many of these materials are fluorescent, measuring the fluorescence lifetime following an excitation pulse is a useful non-contact, quantitative method to identify pigments. In this project, we propose a simple method using a dynamic vision sensor to efficiently characterize the fluorescence lifetime of a common pigment named Egyptian Blue, which is consistent with x-ray techniques. We believe our fast, compact and cost-effective method for fluorescence lifetime analysis is useful in art conservation research and potentially a broader range of applications in chemistry and materials science.",

keywords = "Computational imaging, Fluorescent and luminescent materials, Imaging systems",

author = "Fengqiang Li and Nathan Matsuda and Walton, \{Marc Sebastian\} and Cossairt, \{Oliver Strides\}",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Computational Imaging II 2017 ; Conference date: 09-04-2017 Through 10-04-2017",

year = "2017",

doi = "10.1117/12.2262153",

language = "English (US)",

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

publisher = "SPIE",

editor = "Amit Ashok and Lei Tian and Abhijit Mahalanobis and Petruccelli, \{Jonathan C.\} and Kubala, \{Kenneth S.\}",

booktitle = "Computational Imaging II",

}

Li, F, Matsuda, N, Walton, MS & Cossairt, OS 2017, Fluorescence lifetime estimation using a dynamic vision sensor. in A Ashok, L Tian, A Mahalanobis, JC Petruccelli & KS Kubala (eds), Computational Imaging II., 102220N, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10222, SPIE, Computational Imaging II 2017, Anaheim, United States, 4/9/17. https://doi.org/10.1117/12.2262153

Fluorescence lifetime estimation using a dynamic vision sensor. / Li, Fengqiang; Matsuda, Nathan; Walton, Marc Sebastian et al.
Computational Imaging II. ed. / Amit Ashok; Lei Tian; Abhijit Mahalanobis; Jonathan C. Petruccelli; Kenneth S. Kubala. SPIE, 2017. 102220N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10222).

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

TY - GEN

T1 - Fluorescence lifetime estimation using a dynamic vision sensor

AU - Li, Fengqiang

AU - Matsuda, Nathan

AU - Walton, Marc Sebastian

AU - Cossairt, Oliver Strides

PY - 2017

Y1 - 2017

N2 - A current focus of art conservation research seeks to accurately identify materials, such as oil paints or pigments, used in a work of art. Since many of these materials are fluorescent, measuring the fluorescence lifetime following an excitation pulse is a useful non-contact, quantitative method to identify pigments. In this project, we propose a simple method using a dynamic vision sensor to efficiently characterize the fluorescence lifetime of a common pigment named Egyptian Blue, which is consistent with x-ray techniques. We believe our fast, compact and cost-effective method for fluorescence lifetime analysis is useful in art conservation research and potentially a broader range of applications in chemistry and materials science.

AB - A current focus of art conservation research seeks to accurately identify materials, such as oil paints or pigments, used in a work of art. Since many of these materials are fluorescent, measuring the fluorescence lifetime following an excitation pulse is a useful non-contact, quantitative method to identify pigments. In this project, we propose a simple method using a dynamic vision sensor to efficiently characterize the fluorescence lifetime of a common pigment named Egyptian Blue, which is consistent with x-ray techniques. We believe our fast, compact and cost-effective method for fluorescence lifetime analysis is useful in art conservation research and potentially a broader range of applications in chemistry and materials science.

KW - Computational imaging

KW - Fluorescent and luminescent materials

KW - Imaging systems

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DO - 10.1117/12.2262153

M3 - Conference contribution

AN - SCOPUS:85022326792

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Computational Imaging II

A2 - Ashok, Amit

A2 - Tian, Lei

A2 - Mahalanobis, Abhijit

A2 - Petruccelli, Jonathan C.

A2 - Kubala, Kenneth S.

PB - SPIE

T2 - Computational Imaging II 2017

Y2 - 9 April 2017 through 10 April 2017

ER -

Fluorescence lifetime estimation using a dynamic vision sensor

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Keywords

ASJC Scopus subject areas

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