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Multi-imaging and Bayesian estimation for photon counting with EMCCDs

2008/03/10 by Eric Lantz, Éric Lantz, Jean Luc Blanchet +4 · 1 citation
Engineering · Medicine · Physics and Astronomy · #Advanced Optical Sensing Technologies #Astronomy #Bayesian probability #CCD and CMOS Imaging Sensors #Medical Imaging Techniques and Applications #Optics #Photon #Physics #Statistical physics #Statistics #astro-ph

paper · pdf · doi:10.1111/j.1365-2966.2008.13200.x

19 pages

arxiv created 2008/03/10 · openalex publication_date 2008/04/10 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

A multi-imaging strategy is proposed and experimentally tested to improve the accuracy of photon counting with an electron multiplying CCD (EMCCD), by taking into account the random nature of its on-chip gain and the possibility of multiple photodetection events on one pixel. This strategy is based on Bayesian estimation on each image, with a priori information given by the sum of the images. The method works even for images with large dynamic range, with more improvement in the low light level areas. In these areas, two thirds of the variance added by the EMCCD in a conventional imaging mode are removed, making the physical photon noise predominant in the detected image.

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