Arrayed liquid crystal microlens based on graphene electrode for imaging application

Wei Hu; Cheng Chen; Yong Wu; Jun Luo; Yu Lei; Qing Tong; Xinyu Zhang; Changsheng Xie

doi:10.1117/12.2202914

15 October 2015 Arrayed liquid crystal microlens based on graphene electrode for imaging application

Wei Hu, Cheng Chen, Yong Wu, Jun Luo, Yu Lei, Qing Tong, Xinyu Zhang, Changsheng Xie

Proceedings Volume 9672, AOPC 2015: Advanced Display Technology; and Micro/Nano Optical Imaging Technologies and Applications; 967210 (2015) https://doi.org/10.1117/12.2202914
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

In this paper, an arrayed liquid crystal (LC) microlens (ALCM) based on graphene electrode instead of common indium tin oxide (ITO) electrode material is designed and fabricated, and the corresponding testing results have been obtained and presented. The graphene film used as patterned electrode in the project is grown by chemical vapor deposition (CVD) over copper foils, which demonstrate the properties of low sheet resistance and high transmittance of more than 90% in current stage. The key fabrication of the arrayed LC microlens based on graphene electrode includes the graphene transfering, ultraviolet lithography, ICP etching, liquid crystalline polymer encapsulation, etc. In the test of the arrayed LC microlens, the point spread functions (PSF) of incident laser beams with different wavelengths, such as red laser of ~600nm wavelength, and green laser of ~532nm wavelength, have been obtained. In addition, the arrayed LC microlenses are also used in visible light imaging. During the imaging tests, each microlens in the arrayed LC microlens can perform imaging process, independently.

Citation Download Citation

Wei Hu, Cheng Chen, Yong Wu, Jun Luo, Yu Lei, Qing Tong, Xinyu Zhang, and Changsheng Xie "Arrayed liquid crystal microlens based on graphene electrode for imaging application", Proc. SPIE 9672, AOPC 2015: Advanced Display Technology; and Micro/Nano Optical Imaging Technologies and Applications, 967210 (15 October 2015); https://doi.org/10.1117/12.2202914

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