Volume 12Issue 1
Feb. 2019
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Article Contents
CONG Jing, ZU Ming-ming, LI Hong-tao, CUI Xiao-yu, CHEN Shuo, XI Peng. Smartphone-based fundus imaging system[J]. Chinese Optics, 2019, 12(1): 97-103. doi: 10.3788/CO.20191201.0097
Citation: CONG Jing, ZU Ming-ming, LI Hong-tao, CUI Xiao-yu, CHEN Shuo, XI Peng. Smartphone-based fundus imaging system[J].Chinese Optics, 2019, 12(1): 97-103.doi:10.3788/CO.20191201.0097

Smartphone-based fundus imaging system

doi:10.3788/CO.20191201.0097
Funds:

National Natural Science Foundation of China61605025

National Natural Science Foundation of China61501101

the Fundamental Research Funds for the Central Universities17190201

the Fundamental Research Funds for the Central UniversitiesN162410002-2-6

Program for Innovation Talents in Universities of Liaoning ProvinceLR2016031

More Information
  • Corresponding author:CHEN Shuo. E-mail:chenshuo@bmie.neu.edu.cn
  • Received Date:04 Feb 2018
  • Rev Recd Date:21 Mar 2018
  • Publish Date:01 Feb 2019
  • Fundus photography is used to examine the status of retinas, providing important diagnostic information about retinal diseases. Traditional fundus imaging systems are usually disadvantageous for their large size, difficulty of operation, high cost, etc.. With the recent rapid development of smartphones, their cameras, storage and transmission systems, have improved significantly, making them capable of being used for fundus imaging. Thus, the development and design of the fundus imaging system based on smartphones can overcome the shortcomings of traditional fundus imaging. In this study, the imaging and illumination optical path of the smartphone-based fundus imaging system was designed and the size was minimized as a smartphone accessary using 3D printing. Based on the results from the smartphone-based retinal imaging system, the working distance between the proposed system and an artificial eye was approximately 17 mm and the system was placed in a smartphone accessory with a size of 88 mm×79 mm×42 mm. Zemax was used to further optimize the design for better image quality. The distortion of the optimized imaging system is less than 0.2% and the curvature of field is less than 10 μm. The proposed system is portable, noninvasive and cost effective, which is expected to be applied in community hospitals in the near future.

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