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基于图像清晰度的数字全息显微镜及聚焦方法。

Digital holographic microscopy and focusing methods based on image sharpness.

作者信息

İlhan Hazar A, Doğar Mert, Özcan Merıç

机构信息

Faculty of Engineering and Natural Sciences, Sabancı University, Tuzla, İstanbul, Turkey.

出版信息

J Microsc. 2014 Sep;255(3):138-49. doi: 10.1111/jmi.12144. Epub 2014 Jun 3.

Abstract

Digital holographic microscope allows imaging of opaque and transparent specimens without staining. A digitally recorded hologram must be reconstructed numerically at the actual depth of the object to obtain a focused image. We have developed a high-resolution digital holographic microscope for imaging amplitude and phase objects with autofocusing capability. If the actual depth of an object is not known a priori, it is estimated by comparing the sharpness of several reconstructions at different distances, which is very demanding in means of computational power when the recorded hologram is large. In this paper, we present 11 different sharpness metrics for estimating the actual focus depths of objects. The speed performance of focusing is discussed, and a scaling technique is introduced where the speed of autofocusing increases on the order of square of the scale ratio. We measured the performance of scaling on computer-generated holograms and on recorded holograms of a biological sample. We show that simulations are in good agreement with the experimental results.

摘要

数字全息显微镜能够对不透明和透明样本进行成像,无需染色。数字记录的全息图必须在物体的实际深度进行数值重建,以获得聚焦图像。我们开发了一种具有自动聚焦功能的高分辨率数字全息显微镜,用于对振幅和相位物体进行成像。如果物体的实际深度事先未知,则通过比较不同距离处的多个重建图像的清晰度来估计,当记录的全息图很大时,这对计算能力要求很高。在本文中,我们提出了11种不同的清晰度度量标准,用于估计物体的实际聚焦深度。讨论了聚焦的速度性能,并介绍了一种缩放技术,其中自动聚焦速度按比例因子的平方增加。我们测量了计算机生成全息图和生物样本记录全息图的缩放性能。结果表明,模拟结果与实验结果吻合良好。

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