A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images

	A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images
	Yun, H. J.; Z. Y. Wu; G. J. Wang; G. Tong and H. Yang
	2016
发表期刊	Mathematical Problems in Engineering
摘要	In this study, an implantable optrode was developed for optogenetics stimulation of neural population in nuclei or multi-sites in neural circuits. The optrode was composed of base layer, micro-light emitting diode (LED) and coating layer. The base layer was a 150 m thick polyimide substrate on which copper wires and contacts were fabricated by flexible printed circuit board processes. The micro-LED was soldered on the contacts using SnBi. Parylene-C was deposited over the optrode as the coating layer using a vacuum vapor deposition system. The optical output power was tested by optical power meter and the insulating property was tested using saline in the experiment. The stimulation function of the optrode was demonstrated through animal experiment. The width of the optrode was 500 m and the maximum thickness of the optrode was 310 m at the LED position. The thickness of the parylene coating layer was about 1 m. The maximum optical output power of optrode was 9.31 mW and the effective illumination area was a 3.03 mm2spherical cap at 650 m deep in brain tissue. The optrode was still functional after 14 days in physiological saline. Conventional copper electrodes were used to verify the efficacy of the optrode for stimulation and robust spiking activities of the expressing Channelrhodopsin-2 neurons in the entire cortex of a mouce were recorded. Obvious behavior change happened when light stimulation was applied to the expressing Channelrhodopsin-2 neurons in the secondary motor cortex of the mice. The optrode has the characteristics of large effective illumination range, flexible in implantation and long-term implantable, which provide neural population in nuclei research a new tool. 2016, Editorial Office of Journal of Biomedical Engineering. All right reserved.
文章类型	期刊
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57395
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yun, H. J.,Z. Y. Wu,G. J. Wang,et al. A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images[J]. Mathematical Problems in Engineering,2016.
APA	Yun, H. J.,Z. Y. Wu,G. J. Wang,&G. Tong and H. Yang.(2016).A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images.Mathematical Problems in Engineering.
MLA	Yun, H. J.,et al."A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images".Mathematical Problems in Engineering (2016).

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