FISHER INFORMATION FOR EMCCD IMAGING WITH APPLICATION TO SINGLE MOLECULE MICROSCOPY.

Jerry Chao, E Sally Ward, Raimund J Ober
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引用次数: 2

Abstract

Owing to its high quantum efficiency, the charge-coupled device (CCD) is an important imaging tool employed in biological applications such as single molecule microscopy. Under extremely low light conditions, however, a CCD is generally unsuitable because its readout noise can easily overwhelm the weak signal. Instead, an electron-multiplying charge-coupled device (EMCCD), which stochastically amplifies the acquired signal to drown out the readout noise, can be used. We have previously proposed a framework for calculating the Fisher information, and hence the Cramer-Rao lower bound, for estimating parameters (e.g., single molecule location) from the images produced by an optical microscope. Here, we develop the theory that is needed for deriving, within this framework, performance measures pertaining to the estimation of parameters from an EMCCD image. Our results allow the comparison of a CCD and an EMCCD in terms of the best accuracy with which parameters can be estimated from their acquired images.

Abstract Image

Abstract Image

用于emccd成像的Fisher信息及其在单分子显微镜中的应用。
电荷耦合器件(CCD)由于其高量子效率而成为单分子显微镜等生物领域重要的成像工具。然而,在极低的光照条件下,CCD通常是不合适的,因为它的读出噪声很容易压倒微弱的信号。相反,可以使用电子倍增电荷耦合器件(EMCCD),它可以随机放大获取的信号以淹没读出噪声。我们之前已经提出了一个计算Fisher信息的框架,从而提出了Cramer-Rao下界,用于从光学显微镜产生的图像中估计参数(例如,单分子位置)。在此,我们开发了在此框架内推导与EMCCD图像参数估计有关的性能度量所需的理论。我们的结果允许比较CCD和EMCCD在最佳精度方面,参数可以估计从他们获得的图像。
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CiteScore
1.40
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