Method and experiment of photon counting imaging based on EMCCD

Zhang Lei; Shi Feng; Zou Yan; Zhang Long; He Weiji; Cheng Hongchang; Gu Guohua; Chen Qian

In this paper, a double-threshold filter strategy was proposed and experimentally tested to improve the accuracy of photon counting imaging with an electron multiplying charge-coupled device, by taking into account the addition bias noise and Pseudo-photon noise during photon counting mode. Photon counting event detection was achieved by using amplitude threshold and frequency threshold filter to eliminate the bias noise and Pseudo-photon noise. Based on Bayesian estimation on multi-imaging, an optimal detection rule was found with minimum error cost. Experiment indicates that double-threshold filter strategy improves the photon detection accuracy than usual integrate method, and is suitable for imaging in ultra-low-light conditions such as biological dim light detection.

1. Jiangsu Key Lab of SIIS,Nanjing University of Science & Technology,Nanjing 210094,China;

2. Science and Technology on LLL Night Vision Lab,Xi'an 710065,China;

3. Nanjing Military Representation Bureau,Nanjing 210024,China

Received Date: 2014-05-11

Rev Recd Date: 2014-06-12

Publish Date: 2015-01-25

Key words:

electron multiplying charge-coupled device /
photon counting imaging /
double-threshold filter /
low light level detection

Abstract: In this paper, a double-threshold filter strategy was proposed and experimentally tested to improve the accuracy of photon counting imaging with an electron multiplying charge-coupled device, by taking into account the addition bias noise and Pseudo-photon noise during photon counting mode. Photon counting event detection was achieved by using amplitude threshold and frequency threshold filter to eliminate the bias noise and Pseudo-photon noise. Based on Bayesian estimation on multi-imaging, an optimal detection rule was found with minimum error cost. Experiment indicates that double-threshold filter strategy improves the photon detection accuracy than usual integrate method, and is suitable for imaging in ultra-low-light conditions such as biological dim light detection.

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Reference (15)

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Method and experiment of photon counting imaging based on EMCCD

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