Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 3213 |
| Fachzeitschrift | Scientific reports |
| Jahrgang | 11 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 5 Feb. 2021 |
| Extern publiziert | Ja |
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.
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in: Scientific reports, Jahrgang 11, Nr. 1, 3213, 05.02.2021.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy
AU - Dharmawan, Agus Budi
AU - Mariana, Shinta
AU - Scholz, Gregor
AU - Hörmann, Philipp
AU - Schulze, Torben
AU - Triyana, Kuwat
AU - Garcés-Schröder, Mayra
AU - Rustenbeck, Ingo
AU - Hiller, Karsten
AU - Wasisto, Hutomo Suryo
AU - Waag, Andreas
N1 - Funding Information: This work was performed within LENA-OptoSense funded by the Lower Saxony Ministry for Science and Culture (N-MWK), the European project of ChipScope funded by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 737089, the Quantum and Nano-Metrology program (Quanomet) funded by N-MWK, and Germany’s Excellence Strategy of EXC-2123 QuantumFrontiers – 390837967 funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). Agus Budi Dharmawan thanks Indonesia Endowment Fund for Education (LPDP) and Directorate General of Higher Education at Ministry of Education and Culture of the Republic of Indonesia for the financial support in form of Ph.D. scholarship (BUDI-LN with contract number of 201710220111530) and Indonesian-German Center for Nano and Quantum Technologies (IG-Nano) for the research support. Shinta Mariana is grateful to Georg-Christoph-Lichtenberg for the Ph.D. scholarship (Tailored Light). Technical support from Vladislav Agluschewitsch and Karl-Heinz Lachmund is also acknowledged.
PY - 2021/2/5
Y1 - 2021/2/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85100533835&partnerID=8YFLogxK
U2 - 10.1038/s41598-021-81098-7
DO - 10.1038/s41598-021-81098-7
M3 - Article
C2 - 33547342
AN - SCOPUS:85100533835
VL - 11
JO - Scientific reports
JF - Scientific reports
SN - 2045-2322
IS - 1
M1 - 3213
ER -