A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images
文献类型：期刊论文
| 作者 | Yun, H. J.; Z. Y. Wu; G. J. Wang; G. Tong and H. Yang |
| 刊名 | Mathematical Problems in Engineering
 |
| 出版日期 | 2016 |
| 英文摘要 | 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. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/57395]  |
| 专题 | 长春光学精密机械与物理研究所_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). |
入库方式： OAI收割
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。