Fluorescence lifetime estimation using a dynamic vision sensor

Fengqiang Li; Nathan Matsuda; Marc Walton; Oliver Cossairt

doi:10.1117/12.2262153

1 May 2017 Fluorescence lifetime estimation using a dynamic vision sensor

Fengqiang Li, Nathan Matsuda, Marc Walton, Oliver Cossairt

Proceedings Volume 10222, Computational Imaging II; 102220N (2017) https://doi.org/10.1117/12.2262153
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

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.

Conference Presentation

Citation Download Citation

Fengqiang Li, Nathan Matsuda, Marc Walton, and Oliver Cossairt "Fluorescence lifetime estimation using a dynamic vision sensor", Proc. SPIE 10222, Computational Imaging II, 102220N (1 May 2017); https://doi.org/10.1117/12.2262153

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