Assessing low-light cameras with photon transfer curve method

Luchang Li; Mengting Li; Zhaoning Zhang; Zhen-Li Huang

doi:doi:10.1142/s1793545816300081

Journal of Innovative Optical Health Sciences, 2016, 9 (3): 1630008, Published Online: Dec. 27, 2018

Assessing low-light cameras with photon transfer curve method

论文大纲

Luchang Li ^1,2Mengting Li ^1,2Zhaoning Zhang ^1,2Zhen-Li Huang ^1,2,*

Author Affiliations

¹ Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology Wuhan 430074, P. R. China

² Key Laboratory of Biomedical Photonics of Ministry of Education Department of Biomedical Engineering, Huazhong University of Science and Technology Wuhan 430074, P. R. China

Photon transfer curve EMCCD sCMOS SNR

Abstract

Low-light camera is an indispensable component in various fluorescence microscopy techniques. However, choosing an appropriate low-light camera for a specific technique (for example, single molecule imaging) is always time-consuming and sometimes confusing, especially after the commercialization of a new type of camera called sCMOS camera, which is now receiving heavy demands and high praise from both academic and industrial users. In this tutorial, we try to provide a guide on how to fully access the performance of low-light cameras using a well-developed method called photon transfer curve (PTC). We first present a brief explanation on the key parameters for characterizing low-light cameras, then explain the experimental procedures on how to measure PTC. We also show the application of the PTC method in experimentally quantifying the performance of two representative low-light cameras. Finally, we extend the PTC method to provide offset map, read noise map, and gain map of individual pixels inside a camera.

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Luchang Li, Mengting Li, Zhaoning Zhang, Zhen-Li Huang. Assessing low-light cameras with photon transfer curve method[J]. Journal of Innovative Optical Health Sciences, 2016, 9(3): 1630008.

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