Opto-Electronic Engineering
Opto-Electronic EngineeringPrevious  Next  
Vol. 46, No. 12, 2019
Cover Story:Gu X, Huang W, Yang L M, et al. Microfluidic diffraction phase microscopy and its application in parasites measurement[J]. Opto-Electronic Engineering, 2019, 46(12): 190046

Waterborne parasites are spread by water that causing parasitic diseases throughout the world. These waterborne pathogens are recognised as significantly impairing human health and hindering socioeconomic development in countries worldwide.
Quantitative phase imaging (QPI) is a powerful optical imaging tool that has emerged in recent years. Among various QPI approaches, diffraction phase microscopy (DPM) is well suited for quantitative.
The research group of associate professor Huang Wei from Suzhou Institute of Nano- Technology and Nano-Bionics, Chinese Academy of Science mainly engages in the fields of laser bioimaging technology in recent years. They proposed a method of using diffraction phase microscopy combined with polydimethylsiloxane (PDMS) microfluidic chip to quantitatively measure waterborne parasites.
Select all:    Export Citations as: For   
  Article  |  O436.3
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(956.9 KB) | Supplementary Information | overview 
Cite this article:
Fan Zhentao, Tang Yuanyuan, Wei Kai, et al. Measurement of polarization correlation coefficients of light source and spectrometer in spectroscopic ellipsometry[J]. Opto-Electronic Engineering, 2019, 46(12): 180507. 
  Article  |  TB872
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(1720.3 KB) | Supplementary Information | overview 
Cite this article:
Shi Mengdi, Zhang Xudong, Dong Yunliu, et al. A light field demosaicing method with double guided filtering[J]. Opto-Electronic Engineering, 2019, 46(12): 180539. 
  Article  |  V302.8
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(2293.4 KB) | Supplementary Information | overview 
Cite this article:
Xue Xiaoliang, Su Haibing, Shu Huailiang, et al. Research on fault injection system of FPGA in irradiation environment[J]. Opto-Electronic Engineering, 2019, 46(12): 180549. 
  Article  |  TB872
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(927.8 KB) | Supplementary Information | overview 
Cite this article:
Hou Jianhui, Liu Chong, Jing Chunyuan. Analysis of temperature rise of metal targets irradiated by CW laser[J]. Opto-Electronic Engineering, 2019, 46(12): 180659. 
  Article  |  TP391; TP212
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(1064.5 KB) | Supplementary Information | overview 
Cite this article:
Ping Yishan, Liu Yuankun. An easy line-structured light system calibration method based on homography matrix[J]. Opto-Electronic Engineering, 2019, 46(12): 180677. 
  Article  |  TP391
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(1531.3 KB) | Supplementary Information | overview 
Cite this article:
Chen Peng, Ren Jinjin, Wang Haixia, et al. Equal-scale structure from motion method based on deep learning[J]. Opto-Electronic Engineering, 2019, 46(12): 190006. 
  Article  |  O436.1; TH742
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(1704.5 KB) | Supplementary Information | overview 
Cite this article:
Gu Xin, Huang Wei, Yang Limei, et al. Microfluidic diffraction phase microscopy and its application in parasites measurement[J]. Opto-Electronic Engineering, 2019, 46(12): 190046. 
  Article  |  V447.3; TP751.1
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(576.6 KB) | Supplementary Information | overview 
Cite this article:
Ning Yonghui, Shi Junxia, Liu Chunxiang. Design and data processing of TDICCD real-time radiation correction system[J]. Opto-Electronic Engineering, 2019, 46(12): 190112. 
  Article  |  O438.1
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(2057.7 KB) | Supplementary Information | overview 
Cite this article:
Hui Qiannan, Duan Cunli, Feng Bin, et al. Study of low-noise phase-shifting digital holographic microscopy using a long working distance objective[J]. Opto-Electronic Engineering, 2019, 46(12): 190140. 
  Article  |  TP391.4
Online Time:Dec 01, 2019
View: HTML | PDF | Download PDF(3350.3 KB) | Supplementary Information | overview 
Cite this article:
Hou Zhiqiang, Liu Xiaoyi, Yu Wangsheng, et al. Improved algorithm of Faster R-CNN based on double threshold-non-maximum suppression[J]. Opto-Electronic Engineering, 2019, 46(12): 190159.