Lensless three-dimensional quantitative phase imaging using phase retrieval algorithm

被引:0
|
作者
Anand V. [1 ]
Katkus T. [1 ]
Linklater D.P. [2 ]
Ivanova E.P. [2 ]
Juodkazis S. [1 ,3 ]
机构
[1] Optical Sciences Center, ARC Training Centre, Surface Engineering for Advanced Materials (SEAM), Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, 3122, VIC
[2] Department of Physics, RMIT University, GPO Box 2476, Melbourne, 3001, VIC
[3] Tokyo Tech World Research Hub Initiative (WRHI), School of Materials and Chemical Technology, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo
来源
Anand, Vijayakumar (vanand@swin.edu.au) | 1600年 / MDPI卷 / 06期
基金
澳大利亚研究理事会;
关键词
Computational optics; Digital imaging; Holography; Lensless imaging; Phase retrieval; Quantitative phase imaging; Three-dimensional imaging;
D O I
10.3390/JIMAGING6090099
中图分类号
学科分类号
摘要
Quantitative phase imaging (QPI) techniques are widely used for the label-free examining of transparent biological samples. QPI techniques can be broadly classified into interference-based and interferenceless methods. The interferometric methods which record the complex amplitude are usually bulky with many optical components and use coherent illumination. The interferenceless approaches which need only the intensity distribution and works using phase retrieval algorithms have gained attention as they require lesser resources, cost, space and can work with incoherent illumination. With rapid developments in computational optical techniques and deep learning, QPI has reached new levels of applications. In this tutorial, we discuss one of the basic optical configurations of a lensless QPI technique based on the phase-retrieval algorithm. Simulative studies on QPI of thin, thick, and greyscale phase objects with assistive pseudo-codes and computational codes in Octave is provided. Binary phase samples with positive and negative resist profiles were fabricated using lithography, and a single plane and two plane phase objects were constructed. Light diffracted from a point object is modulated by phase samples and the corresponding intensity patterns are recorded. The phase retrieval approach is applied for 2D and 3D phase reconstructions. Commented codes in Octave for image acquisition and automation using a web camera in an open source operating system are provided. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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