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光学显微镜的景深扩展:现有方法的评估和新的建议。

Extended depth of focus in optical microscopy: assessment of existing methods and a new proposal.

机构信息

Advanced Research Center on Electronic Systems for Information and Communication Technologies E. De Castro, University of Bologna, Bologna, Italy.

出版信息

Microsc Res Tech. 2012 Nov;75(11):1582-92. doi: 10.1002/jemt.22104. Epub 2012 Sep 13.

Abstract

Due to depth of focus constraints, the acquisition of a single 2-D completely in-focus image of 3-D objects characterized by a relevant depth dimension is not possible with a standard light microscope. Since the Seventies numerous methods have been proposed to overcome this problem, mainly through different fusion processing techniques to extend the microscope's depth of focus. However, given a specific application, it is very difficult to know which method yields the best results because there are no validated approaches or tested metrics that are suitable for real world cases typically lacking in a reference ground truth. Although the Universal Quality Index (UQI) is widely used to evaluate output quality in image processing, it requires a reference ground truth. Some UQI extensions have been proposed to evaluate the output of fusion methods without a ground truth, but sufficient analyses have not been carried out to confirm their equivalence to the standard UQI in terms of (evaluation) performance. We propose a new method to extend the microscope's depth of focus and, using synthetic stacks of images with ground truth attached, show that it is superior to state-of-the-art methods. We also demonstrate that the output of metrics proposed as UQI extensions is different from that of the UQI. Finally, we validate a new approach to evaluate extended depth of focus methods using real world stacks of slices, as per the UQI, but without the need for a reference ground truth.

摘要

由于景深的限制,用标准的光学显微镜不可能获取具有相关深度维度的三维物体的单个 2-D 完全聚焦图像。自 70 年代以来,已经提出了许多方法来克服这个问题,主要是通过不同的融合处理技术来扩展显微镜的景深。然而,对于特定的应用,很难知道哪种方法能产生最好的结果,因为没有经过验证的方法或测试指标适用于通常缺乏参考地面真实情况的实际情况。尽管通用质量指数(UQI)广泛用于评估图像处理的输出质量,但它需要参考地面真实情况。已经提出了一些 UQI 扩展来评估没有地面真实情况的融合方法的输出,但没有进行足够的分析来确认它们在(评估)性能方面与标准 UQI 的等效性。我们提出了一种新的方法来扩展显微镜的景深,并使用带有地面真实情况的合成图像堆栈来证明它优于最先进的方法。我们还证明了作为 UQI 扩展提出的度量的输出与 UQI 的输出不同。最后,我们根据 UQI 验证了一种使用真实世界切片堆栈评估扩展景深方法的新方法,而无需参考地面真实情况。

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