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Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm

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...

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Autores principales: Anand, Vijayakumar, Katkus, Tomas, Linklater, Denver P., Ivanova, Elena P., Juodkazis, Saulius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321078/
https://www.ncbi.nlm.nih.gov/pubmed/34460756
http://dx.doi.org/10.3390/jimaging6090099
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author Anand, Vijayakumar
Katkus, Tomas
Linklater, Denver P.
Ivanova, Elena P.
Juodkazis, Saulius
author_facet Anand, Vijayakumar
Katkus, Tomas
Linklater, Denver P.
Ivanova, Elena P.
Juodkazis, Saulius
author_sort Anand, Vijayakumar
collection PubMed
description 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.
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spelling pubmed-83210782021-08-26 Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm Anand, Vijayakumar Katkus, Tomas Linklater, Denver P. Ivanova, Elena P. Juodkazis, Saulius J Imaging Tutorial 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. MDPI 2020-09-20 /pmc/articles/PMC8321078/ /pubmed/34460756 http://dx.doi.org/10.3390/jimaging6090099 Text en © 2020 by the authors. https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Tutorial
Anand, Vijayakumar
Katkus, Tomas
Linklater, Denver P.
Ivanova, Elena P.
Juodkazis, Saulius
Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
title Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
title_full Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
title_fullStr Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
title_full_unstemmed Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
title_short Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
title_sort lensless three-dimensional quantitative phase imaging using phase retrieval algorithm
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321078/
https://www.ncbi.nlm.nih.gov/pubmed/34460756
http://dx.doi.org/10.3390/jimaging6090099
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