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Open AccessArticle

Continuous Live-Cell Culture Imaging and Single-Cell Tracking by Computational Lensfree LED Microscopy

1
Institute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany
2
Laboratory for Emerging Nanometrology (LENA), Technische Universität Braunschweig, 38106 Braunschweig, Germany
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Faculty of Information Technology, Universitas Tarumanagara, Jakarta 11440, Indonesia
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Research Center for Electronics and Telecommunication, Indonesian Institute of Sciences (LIPI), Bandung 40135, Indonesia
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Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, 38106 Braunschweig, Germany
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MIND-IN2UB, Department of Electronic and Biomedical Engineering, University of Barcelona, 08028 Barcelona, Spain
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(5), 1234; https://doi.org/10.3390/s19051234
Received: 31 January 2019 / Revised: 25 February 2019 / Accepted: 6 March 2019 / Published: 11 March 2019
(This article belongs to the Special Issue Eurosensors 2018 Selected Papers)
Continuous cell culture monitoring as a way of investigating growth, proliferation, and kinetics of biological experiments is in high demand. However, commercially available solutions are typically expensive and large in size. Digital inline-holographic microscopes (DIHM) can provide a cost-effective alternative to conventional microscopes, bridging the gap towards live-cell culture imaging. In this work, a DIHM is built from inexpensive components and applied to different cell cultures. The images are reconstructed by computational methods and the data are analyzed with particle detection and tracking methods. Counting of cells as well as movement tracking of living cells is demonstrated, showing the feasibility of using a field-portable DIHM for basic cell culture investigation and bringing about the potential to deeply understand cell motility. View Full-Text
Keywords: lensless holographic microscopy; LED; Complementary Metal-Oxide Semiconductor (CMOS) image sensor; cell culture; cell imaging; cell counting lensless holographic microscopy; LED; Complementary Metal-Oxide Semiconductor (CMOS) image sensor; cell culture; cell imaging; cell counting
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MDPI and ACS Style

Scholz, G.; Mariana, S.; Dharmawan, A.B.; Syamsu, I.; Hörmann, P.; Reuse, C.; Hartmann, J.; Hiller, K.; Prades, J.D.; Wasisto, H.S.; Waag, A. Continuous Live-Cell Culture Imaging and Single-Cell Tracking by Computational Lensfree LED Microscopy. Sensors 2019, 19, 1234.

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