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Article

Super-Resolution Lensless Imaging of Cells Using Brownian Motion

1
School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi, China
2
School of Electrical and Electronic Engineering, Baoji University of Arts and Sciences, Baoji 721013, Shaanxi, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(10), 2080; https://doi.org/10.3390/app9102080
Submission received: 23 April 2019 / Revised: 15 May 2019 / Accepted: 17 May 2019 / Published: 21 May 2019
(This article belongs to the Special Issue Advanced Ultrafast Imaging)

Abstract

The lensless imaging technique, which integrates a microscope into a complementary metal oxide semiconductor (CMOS) digital image sensor, has become increasingly important for the miniaturization of biological microscope and cell detection equipment. However, limited by the pixel size of the CMOS image sensor (CIS), the resolution of a cell image without optical amplification is low. This is also a key defect with the lensless imaging technique, which has been studied by a many scholars. In this manuscript, we propose a method to improve the resolution of the cell images using the Brownian motion of living cells in liquid. A two-step algorithm of motion estimation for image registration is proposed. Then, the raw holographic images are reconstructed using normalized convolution super-resolution algorithm. The result shows that the effect of the collected cell image under the lensless imaging system is close to the effect of a 10× objective lens.
Keywords: lensless imaging; Brownian motion; super-resolution lensless imaging; Brownian motion; super-resolution

Share and Cite

MDPI and ACS Style

Fang, Y.; Yu, N.; Jiang, Y. Super-Resolution Lensless Imaging of Cells Using Brownian Motion. Appl. Sci. 2019, 9, 2080. https://doi.org/10.3390/app9102080

AMA Style

Fang Y, Yu N, Jiang Y. Super-Resolution Lensless Imaging of Cells Using Brownian Motion. Applied Sciences. 2019; 9(10):2080. https://doi.org/10.3390/app9102080

Chicago/Turabian Style

Fang, Yuan, Ningmei Yu, and Yuquan Jiang. 2019. "Super-Resolution Lensless Imaging of Cells Using Brownian Motion" Applied Sciences 9, no. 10: 2080. https://doi.org/10.3390/app9102080

APA Style

Fang, Y., Yu, N., & Jiang, Y. (2019). Super-Resolution Lensless Imaging of Cells Using Brownian Motion. Applied Sciences, 9(10), 2080. https://doi.org/10.3390/app9102080

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