Fluorescence lifetime estimation using a dynamic vision sensor

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

Research output: Chapter in Book/Report/Conference proceedingConference 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.

LanguageEnglish (US)
Title of host publicationComputational Imaging II
EditorsAmit Ashok, Lei Tian, Abhijit Mahalanobis, Jonathan C. Petruccelli, Kenneth S. Kubala
PublisherSPIE
Volume10222
ISBN (Electronic)9781510609457
DOIs
StatePublished - Jan 1 2017
EventComputational Imaging II 2017 - Anaheim, United States
Duration: Apr 9 2017Apr 10 2017

Other

OtherComputational Imaging II 2017
CountryUnited States
CityAnaheim
Period4/9/174/10/17

Fingerprint

Fluorescence Lifetime
arts
pigments
Pigments
Fluorescence
life (durability)
Sensor
fluorescence
Conservation
conservation
sensors
Sensors
Materials Science
Non-contact
paints
Materials science
materials science
Paint
Chemistry
Oils

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

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 (Vol. 10222). [102220N] SPIE. https://doi.org/10.1117/12.2262153
Li, Fengqiang ; Matsuda, Nathan ; Walton, Marc Sebastian ; Cossairt, Oliver Strides. / Fluorescence lifetime estimation using a dynamic vision sensor. Computational Imaging II. editor / Amit Ashok ; Lei Tian ; Abhijit Mahalanobis ; Jonathan C. Petruccelli ; Kenneth S. Kubala. Vol. 10222 SPIE, 2017.
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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. vol. 10222, 102220N, 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; Cossairt, Oliver Strides.

Computational Imaging II. ed. / Amit Ashok; Lei Tian; Abhijit Mahalanobis; Jonathan C. Petruccelli; Kenneth S. Kubala. Vol. 10222 SPIE, 2017. 102220N.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

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Li F, Matsuda N, Walton MS, Cossairt OS. Fluorescence lifetime estimation using a dynamic vision sensor. In Ashok A, Tian L, Mahalanobis A, Petruccelli JC, Kubala KS, editors, Computational Imaging II. Vol. 10222. SPIE. 2017. 102220N https://doi.org/10.1117/12.2262153