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Liquid-crystal microlenses with patterned ring-electrode arrays for multiple-mode two-dimensional imaging

机译:具有带图案的环形电极阵列的液晶微透镜,用于多模式二维成像

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摘要

In this paper, a new liquid-crystal microlens array (LCMLA) with patterned ring-electrode arrays (PREAs) is investigated, which has an ability to acquire multiple-mode two-dimensional images with better electrically tunable efficiency than common liquid-crystal devices. The new type of LCMLA can be used to overcome several remarkable disadvantage of conventional liquid-crystal microlens arrays switched and adjusted electrically by relatively complex mechanism. There are two layer electrodes in the LCMLA developed by us. The top electrode layer consists of PREAs with different featured diameter but the same center for each single cell, and the bottom is a plate electrode. When both electrode structures are driven independently by variable AC voltage signal, a gradient electric field distribution could be obtained, which can drive liquid-crystal molecules to reorient themselves along the gradient electric field shaped, so as to demonstrate a satisfactory refractive index distribution. The common experiments are carried out to validate the performances needed. As shown, the focal length of the LCMLA can be adjusted continuously according to the variable voltage signal applied. According to designing, the LCMLA will be integrated continuously with an image sensors to set up a camera with desired performances. The test results indicate that our camera based on the LCMLA can obtain distinct multiple-mode two-dimensional images under the condition of using relatively low driving signal voltage.
机译:本文研究了一种新的具有图案化环形电极阵列(PREA)的液晶微透镜阵列(LCMLA),该液晶微透镜阵列具有比普通液晶器件更好的电调谐效率,能够获取多模二维图像。 。新型LCMLA可用于克服传统液晶微透镜阵列通过相对复杂的机制进行电切换和调节的几个显着缺点。我们开发的LCMLA中有两层电极。顶部电极层由特征直径不同但每个单元电池的中心相同的PREA组成,而底部电极是板状电极。当两个电极结构均由可变交流电压信号独立驱动时,可获得梯度电场分布,可以驱动液晶分子沿梯度电场形状重新定向,从而表现出令人满意的折射率分布。进行常规实验以验证所需的性能。如图所示,可以根据所施加的可变电压信号连续调节LCMLA的焦距。根据设计,LCMLA将与图像传感器连续集成,以设置具有所需性能的相机。测试结果表明,我们的基于LCMLA的摄像机在使用相对较低的驱动信号电压的条件下,可以获得清晰的多模二维图像。

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