Super-Resolution Lensless Imaging of Cells Using Brownian Motion

Applied Sciences

Yuan Fang¹  Ningmei Yu¹  Yuquan Jiang¹ 

[1] School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi, China;

关键词: lensless imaging;    Brownian motion;    super-resolution;   

DOI  :  10.3390/app9102080

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown