Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy

Abstract Performing long-term cell observations is a non-trivial task for conventional optical microscopy, since it is usually not compatible with environments of an incubator and its temperature and humidity requirements. Lensless holographic microscopy, being entirely based on semiconductor chips...

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Autores principales: Agus Budi Dharmawan, Shinta Mariana, Gregor Scholz, Philipp Hörmann, Torben Schulze, Kuwat Triyana, Mayra Garcés-Schröder, Ingo Rustenbeck, Karsten Hiller, Hutomo Suryo Wasisto, Andreas Waag
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:3154fd2bc4604154b7620892ee50020b2021-12-02T10:44:15ZNonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy10.1038/s41598-021-81098-72045-2322https://doaj.org/article/3154fd2bc4604154b7620892ee50020b2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81098-7https://doaj.org/toc/2045-2322Abstract Performing long-term cell observations is a non-trivial task for conventional optical microscopy, since it is usually not compatible with environments of an incubator and its temperature and humidity requirements. Lensless holographic microscopy, being entirely based on semiconductor chips without lenses and without any moving parts, has proven to be a very interesting alternative to conventional microscopy. Here, we report on the integration of a computational parfocal feature, which operates based on wave propagation distribution analysis, to perform a fast autofocusing process. This unique non-mechanical focusing approach was implemented to keep the imaged object staying in-focus during continuous long-term and real-time recordings. A light-emitting diode (LED) combined with pinhole setup was used to realize a point light source, leading to a resolution down to 2.76 μm. Our approach delivers not only in-focus sharp images of dynamic cells, but also three-dimensional (3D) information on their (x, y, z)-positions. System reliability tests were conducted inside a sealed incubator to monitor cultures of three different biological living cells (i.e., MIN6, neuroblastoma (SH-SY5Y), and Prorocentrum minimum). Altogether, this autofocusing framework enables new opportunities for highly integrated microscopic imaging and dynamic tracking of moving objects in harsh environments with large sample areas.Agus Budi DharmawanShinta MarianaGregor ScholzPhilipp HörmannTorben SchulzeKuwat TriyanaMayra Garcés-SchröderIngo RustenbeckKarsten HillerHutomo Suryo WasistoAndreas WaagNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Agus Budi Dharmawan
Shinta Mariana
Gregor Scholz
Philipp Hörmann
Torben Schulze
Kuwat Triyana
Mayra Garcés-Schröder
Ingo Rustenbeck
Karsten Hiller
Hutomo Suryo Wasisto
Andreas Waag
Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
description Abstract Performing long-term cell observations is a non-trivial task for conventional optical microscopy, since it is usually not compatible with environments of an incubator and its temperature and humidity requirements. Lensless holographic microscopy, being entirely based on semiconductor chips without lenses and without any moving parts, has proven to be a very interesting alternative to conventional microscopy. Here, we report on the integration of a computational parfocal feature, which operates based on wave propagation distribution analysis, to perform a fast autofocusing process. This unique non-mechanical focusing approach was implemented to keep the imaged object staying in-focus during continuous long-term and real-time recordings. A light-emitting diode (LED) combined with pinhole setup was used to realize a point light source, leading to a resolution down to 2.76 μm. Our approach delivers not only in-focus sharp images of dynamic cells, but also three-dimensional (3D) information on their (x, y, z)-positions. System reliability tests were conducted inside a sealed incubator to monitor cultures of three different biological living cells (i.e., MIN6, neuroblastoma (SH-SY5Y), and Prorocentrum minimum). Altogether, this autofocusing framework enables new opportunities for highly integrated microscopic imaging and dynamic tracking of moving objects in harsh environments with large sample areas.
format article
author Agus Budi Dharmawan
Shinta Mariana
Gregor Scholz
Philipp Hörmann
Torben Schulze
Kuwat Triyana
Mayra Garcés-Schröder
Ingo Rustenbeck
Karsten Hiller
Hutomo Suryo Wasisto
Andreas Waag
author_facet Agus Budi Dharmawan
Shinta Mariana
Gregor Scholz
Philipp Hörmann
Torben Schulze
Kuwat Triyana
Mayra Garcés-Schröder
Ingo Rustenbeck
Karsten Hiller
Hutomo Suryo Wasisto
Andreas Waag
author_sort Agus Budi Dharmawan
title Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
title_short Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
title_full Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
title_fullStr Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
title_full_unstemmed Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
title_sort nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3154fd2bc4604154b7620892ee50020b
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