Bio-inspired color-polarization imager for real-time in situ imaging
Bio-inspired color-polarization imager for real-time in situ imaging
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DOI：
10.1364/optica.4.001263
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发表时间：
2017-10-20
期刊：
影响因子：
10.4
通讯作者：
Gruev, Viktor
中科院分区：
文献类型：
--
作者：
Garcia, Missael;Edmiston, Christopher;Gruev, Viktor
大自然拥有大量利用自然丰富的两极分化现象的动物。其中，螳螂虾拥有自然界开发的最先进和最优雅的视觉系统之一，能够进行高偏振敏感性和高光谱成像。在这里，我们展示了通过改变成像和视觉传感器领域采用的传统路径的设计范式，而在功能上模仿螳螂虾的视觉系统，我们开发了一种单芯片、低功耗、高分辨率的彩色偏振成像系统。我们的生物灵感成像仪通过单片集成纳米线偏振滤光片和垂直堆叠的光电探测器，以高分辨率实时捕获联合配准的颜色和偏振信息。这些光电探测器通过利用波长相关的光子深度吸收来捕获每个像素三个不同的光谱通道。我们的仿生成像器由1280×720像素组成，动态范围为62分贝，最大信噪比为48分贝。在整个可见光谱范围内，量子效率在30%以上，同时在每个光谱通道上获得接近40%的高偏振消光比。这项技术使海洋生物的水下成像研究成为可能，它利用了颜色和偏振信息，以及在生物医学领域的应用。(C)2017年美国光学学会
Nature has a large repertoire of animals that take advantage of naturally abundant polarization phenomena. Among them, the mantis shrimp possesses one of the most advanced and elegant visual systems nature has developed, capable of high polarization sensitivity and hyperspectral imaging. Here, we demonstrate that by shifting the design paradigm away from the conventional paths adopted in the imaging and vision sensor fields and instead functionally mimicking the visual system of the mantis shrimp, we have developed a single-chip, low-power, high-resolution color-polarization imaging system. Our bio-inspired imager captures co-registered color and polarization information in real time with high resolution by monolithically integrating nanowire polarization filters with vertically stacked photodetectors. These photodetectors capture three different spectral channels per pixel by exploiting wavelength-dependent depth absorption of photons. Our bio-inspired imager comprises 1280 by 720 pixels with a dynamic range of 62 dB and a maximum signal-to-noise ratio of 48 dB. The quantum efficiency is above 30% over the entire visible spectrum, while achieving high polarization extinction ratios of similar to 40 on each spectral channel. This technology is enabling underwater imaging studies of marine species, which exploit both color and polarization information, as well as applications in biomedical fields. (C) 2017 Optical Society of America