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首页> 外文会议>Conference on Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing X Jan 28-29, 2003 San Jose, California, USA >Image estimation accounting for point-spread function depth variation in three-dimensional fluorescence microscopy
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Image estimation accounting for point-spread function depth variation in three-dimensional fluorescence microscopy

机译：三维荧光显微镜中考虑点扩展函数深度变化的图像估计

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摘要

An approximate model for optical-sectioning microscopy describing depth-varying imaging is developed. The model incorporates changes in the point-spread function due to refractive index mismatch between the immersion medium and the specimen, which causes spherical aberration that worsens with increasing depth under the coverslip. Comparison of model predictions to measured images from a bead phantom shows that the approximate model captures the main features in the data. The model presented in this paper is the first step towards depth-variant image estimation for optical-sectioning microscopy. An expectation maximization algorithm for maximum-likelihood restoration based on this model is also presented.
机译：建立了描述深度变化成像的光学切片显微镜的近似模型。该模型合并了点扩散函数的变化，这是由于浸没介质和样本之间的折射率不匹配所致，从而导致球差，随着盖玻片下深度的增加，球差变差。将模型预测与来自珠体模型的测量图像进行比较，结果表明近似模型可以捕获数据中的主要特征。本文介绍的模型是光学切片显微镜向深度变化图像估计的第一步。提出了基于该模型的最大似然恢复期望最大化算法。

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