A comparative study of methods to estimate conversion gain in sub-electron and multi-electron read noise regimes
A comparative study of methods to estimate conversion gain in sub-electron and multi-electron read noise regimes
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子电子和多电子读取噪声区域中转换增益估计方法的比较研究
DOI：
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
D. Haefner
中科院分区：
文献类型：
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作者：
A. Hendrickson;D. Haefner
在所有传感器性能参数中，转换增益可以说是最基本的，因为它描述了传感器输入处的光电子转换为输出处的数字。部分由于近年来深度亚电子读取噪声图像传感器的出现，文献中已经看到了详细介绍估计亚电子和多电子读取噪声制度下转换增益方法的论文的复苏。所提出的每一种方法都是从相同的噪声模型中工作的，但是在估计转换增益时产生了不同的过程。在这里，概述了所提出的方法，并对其假设、不确定度和测量要求进行了调查。利用各种不同传感器配置的合成数据进行了灵敏度分析。具体来说，本文探讨了转换增益估计不确定度与读取噪声和量子暴露大小的关系。提供了不同方法之间权衡的指导，以便实验人员了解哪种方法最适合他们的应用。为了支持可重复的研究工作，与这项工作相关的MATLAB函数可以在Mathworks文件交换中找到。
Of all sensor performance parameters, the conversion gain is arguably the most fundamental as it describes the conversion of photoelectrons at the sensor input into digital numbers at the output. Due in part to the emergence of deep sub-electron read noise image sensors in recent years, the literature has seen a resurgence of papers detailing methods for estimating conversion gain in both the sub-electron and multi-electron read noise regimes. Each of the proposed methods work from identical noise models but nevertheless yield diverse procedures for estimating conversion gain. Here, an overview of the proposed methods is provided along with an investigation into their assumptions, uncertainty, and measurement requirements. A sensitivity analysis is conducted using synthetic data for a variety of different sensor configurations. Specifically, the dependence of the conversion gain estimate uncertainty on the magnitude of read noise and quanta exposure is explored. Guidance into the trade-offs between the different methods is provided so that experimenters understand which method is optimal for their application. In support of the reproducible research effort, the MATLAB functions associated with this work can be found on the Mathworks file exchange.
用于表征 DSERN 图像传感器的 PCH-EM 算法的实验验证
影响因子：
2.3
作者：
Hendrickson, Aaron J.;Haefner, David P.;Shade, Nicholas R.;Fossum, Eric R.
通讯作者：
Fossum, Eric R.