Continuous Live-Cell Culture Monitoring by Compact Lensless LED Microscopes

Proceedings

Dietzel, Andreas¹  Dharmawan, Agus Budi²  Hörmann, Philipp³  Mattern, Kai⁴  Schulze, Torben⁵  Scholz, Gregor⁶  Mariana, Shinta⁷  Hartmann, Jana⁸  Rustenbeck, Ingo⁹  Syamsu, Iqbal^1,10 

[1] Authors to whom correspondence should be addressed.;Faculty of Information Technology, Universitas Tarumanagara, 11440 Jakarta, Indonesia;Institute for Biochemistry, Biotechnology and Bioinformatics, TU Braunschweig, 38106 Braunschweig, Germany;Institute of Microtechnology (IMT), TU Braunschweig, 38124 Braunschweig, Germany;Institute of Pharmacology, Toxicology and Clinical Pharmacy (IPT), TU Braunschweig, 38106 Braunschweig, Germany;Institute of Semiconductor Technology (IHT), TU Braunschweig, 38106 Braunschweig, Germany;Laboratory for Emerging Nanometrology (LENA), TU Braunschweig, 38106 Braunschweig, Germany;MIND-IN2UB, Department of Electronic and Biomedical Engineering, University of Barcelona, 08028 Barcelona, Spain;Presented at the Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018;Research Center for Electronics and Telecommunication, Indonesian Institute of Sciences (LIPI), 40135 Bandung, Indonesia

关键词: lensless holographic microscopy;    LED;    CMOS image sensor;    cell culture;    cell imaging;    cell counting;   

DOI  :  10.3390/proceedings2130877

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

A compact lensless microscope comprising a custom-made LED engine and a CMOS imaging sensor has been developed for live-cell culture imaging inside a cell incubator environment. The imaging technique is based on digital inline-holographic microscopy, while the image reconstruction is carried out by angular spectrum approach with a custom written software. The system was tested with various biological samples including immortalized mouse astrocyte cells inside a petri dish. Besides the imaging possibility, the capability of automated cell counting and tracking could be demonstrated. By using image sensors capable of video frame rate, time series of cell movement can be captured.

【 授权许可】

CC BY