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Empirical Sure-Guided Microscopy Super-Resolution Image Reconstruction from Confocal Multi-Array Detectors

机译:来自共聚焦多阵测探测器的经验综合显微镜超分辨率图像重建

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The new generation of confocal microscopes are equipped with an array detector that generates an array of images corresponding to a multiview of the same sample. Several computational methods have been proposed to reconstruct a single super-resolution image from a stack of images associated to detectors. Each method has its pros and cons depending on the targeted application. In this paper, we review the most commonly used reconstruction methods and propose a SURE approach to automatically estimate parameters and improve reconstruction. Methods described in this paper are available in an open source software.
机译:新一代共聚焦显微镜配备有阵列检测器,该阵列检测器产生与同一样本的多视图相对应的图像阵列。 已经提出了几种计算方法来从与探测器相关联的一堆图像重建单个超分辨率图像。 每种方法都有其优点和缺点,具体取决于目标应用。 在本文中,我们审查了最常用的重建方法,并提出了一种肯定的方法来自动估计参数并改善重建。 本文描述的方法可在开源软件中获得。

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