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首页> 外文期刊>Optical engineering >Investigation of sparsity metrics for autofocusing in digital holographic microscopy
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Investigation of sparsity metrics for autofocusing in digital holographic microscopy

机译：数字全息显微镜中自动聚焦的稀疏度指标研究

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摘要

Digital holographic microscopy (DHM) is an optoelectronic technique that is made up of two parts: (i) the recording of the interference pattern of the diffraction pattern of an object and a known reference wavefield using a digital camera and (ii) the numerical reconstruction of the complex object wavefield using the recorded interferogram and a distance parameter as input. The latter is based on the simulation of optical propagation from the camera plane to a plane at any arbitrary distance from the camera. A key advantage of DHM over conventional microscopy is that both the phase and intensity information of the object can be recovered at any distance, using only one capture, and this facilitates the recording of scenes that may change dynamically and that may otherwise go in and out of focus. Autofocusing using traditional microscopy requires mechanical movement of the translation stage or the microscope objective, and multiple image captures that are then compared using some metric. Autofocusing in DHM is similar, except that the sequence of intensity images, to which the metric is applied, is generated numerically from a single capture. We recently investigated the application of a number of sparsity metrics for DHM autofocusing and in this paper we extend this work to include more such metrics, and apply them over a greater range of biological diatom cells and magnificationumerical apertures. We demonstrate for the first time that these metrics may be grouped together according to matching behavior following high pass filtering.
机译：数字全息显微术（DHM）是一种光电技术，它由两部分组成：（i）使用数码相机记录物体的衍射图样和已知参考波场的干涉图样，以及（ii）数值重建使用记录的干涉图和距离参数作为输入的复杂物体波场的测量。后者基于模拟从相机平面到与相机之间任意距离的平面的光传播。 DHM与常规显微镜相比的主要优势在于，只需使用一次捕获，就可以在任何距离恢复物体的相位和强度信息，这有助于记录可能动态变化并且可能进出的场景的重点。使用传统显微镜进行自动聚焦需要平移台或显微镜物镜的机械运动，然后使用某种度量标准比较多个图像捕获。 DHM中的自动对焦与之类似，不同之处在于从单个捕获中以数字方式生成了应用了度量的强度图像序列。我们最近研究了DHM自动聚焦的许多稀疏度度量标准的应用，在本文中，我们将这项工作扩展为包括更多此类度量标准，并将其应用于更大范围的生物硅藻细胞和放大/数值孔径。我们首次证明，根据经过高通滤波后的匹配行为，这些指标可能会组合在一起。

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  • 来源
    《Optical engineering》 |2017年第5期|053112.1-053112.13|共13页
  • 作者

    Xin Fan; John J. Healy; Bryan M. Hennelly;

  • 作者单位

    National University of Ireland, Department of Electronic Engineering, Maynooth, County Kildare, Ireland;

    University College Dublin, School of Electrical and Electronic Engineering, Dublin, Ireland;

    National University of Ireland, Department of Electronic Engineering, Maynooth, County Kildare, Ireland,National University of Ireland, Department of Computer Science, Maynooth, County Kildare, Ireland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    digital holographic microscopy; autofocus; sparsity metrics; biological cell;

    机译：数字全息显微镜;自动对焦稀疏性指标;生物细胞;

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