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数字全息干涉测量技术的进展

Advances in Digital Holographic Interferometry.

作者信息

Petrov Viktor, Pogoda Anastsiya, Sementin Vladimir, Sevryugin Alexander, Shalymov Egor, Venediktov Dmitrii, Venediktov Vladimir

机构信息

Faculty of Photonics, National Research University ITMO, 197101 St. Petersburg, Russia.

Faculty of Information and Control Systems, Baltic State Technical University "VOENMEH", 190005 St. Petersburg, Russia.

出版信息

J Imaging. 2022 Jul 12;8(7):196. doi: 10.3390/jimaging8070196.

DOI:10.3390/jimaging8070196
PMID:35877640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9323567/
Abstract

Holographic interferometry is a well-established field of science and optical engineering. It has a half-century history of successful implementation as the solution to numerous technical tasks and problems. However, fast progress in digital and computer holography has promoted it to a new level of possibilities and has opened brand new fields of its application. In this review paper, we consider some such new techniques and applications.

摘要

全息干涉测量术是一个成熟的科学与光学工程领域。作为解决众多技术任务和问题的方法,它已有半个世纪的成功应用历史。然而,数字全息和计算全息的快速发展将其提升到了一个新的可能性水平,并开辟了全新的应用领域。在这篇综述论文中,我们将探讨一些此类新技术和应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/bfd3b66d942c/jimaging-08-00196-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/9de17c0ceed7/jimaging-08-00196-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/0d559c3eecbc/jimaging-08-00196-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/c0c8542e445a/jimaging-08-00196-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/da9297ad682e/jimaging-08-00196-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/e4ac15538862/jimaging-08-00196-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/a806597da505/jimaging-08-00196-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/21d005a0c6b5/jimaging-08-00196-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/4389a1a43919/jimaging-08-00196-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/bfd3b66d942c/jimaging-08-00196-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/9de17c0ceed7/jimaging-08-00196-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/0d559c3eecbc/jimaging-08-00196-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/c0c8542e445a/jimaging-08-00196-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/da9297ad682e/jimaging-08-00196-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/e4ac15538862/jimaging-08-00196-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/a806597da505/jimaging-08-00196-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/21d005a0c6b5/jimaging-08-00196-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/4389a1a43919/jimaging-08-00196-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ad7/9323567/bfd3b66d942c/jimaging-08-00196-g009.jpg

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Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning.通过机器学习增强的微流控全息流式细胞仪对上皮性卵巢癌细胞耐药性的无标记评估
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