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明场显微镜病理学的自动对焦评估。

Autofocus evaluation for brightfield microscopy pathology.

机构信息

Instituto de Óptica, Consejo Superior de Investigaciones Científicas (CSIC), Serrano 121, Madrid 28006, Spain.

出版信息

J Biomed Opt. 2012 Mar;17(3):036008. doi: 10.1117/1.JBO.17.3.036008.

Abstract

An essential and indispensable component of automated microscopy framework is the automatic focusing system, which determines the in-focus position of a given field of view by searching the maximum value of a focusing function over a range of z-axis positions. The focus function and its computation time are crucial to the accuracy and efficiency of the system. Sixteen focusing algorithms were analyzed for histological and histopathological images. In terms of accuracy, results have shown an overall high performance by most of the methods. However, we included in the evaluation study other criteria such as computational cost and focusing curve shape which are crucial for real-time applications and were used to highlight the best practices.

摘要

自动化显微镜框架的一个重要且不可或缺的组成部分是自动聚焦系统,它通过在 z 轴位置范围内搜索聚焦函数的最大值来确定给定视场的聚焦位置。聚焦函数及其计算时间对系统的准确性和效率至关重要。我们分析了 16 种用于组织学和组织病理学图像的聚焦算法。就准确性而言,大多数方法的结果都表现出了整体的高性能。然而,我们在评估研究中还包括了其他标准,如计算成本和聚焦曲线形状,这些对于实时应用至关重要,并用于突出最佳实践。

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