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Subpixel resolving optofluidic microscope based on super resolution algorithm

机译:基于超分辨率算法的亚像素分辨optof流体显微镜

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We report the implementation of a fully on-chip, lensless, sub-pixel resolving optofluidic microscope (SROFM) based on the super resolution algorithm. The device utilizes microfluidic flow to deliver specimens directly across a complementary metal oxide semiconductor (CMOS) sensor to generate a sequence of low-resolution (LR) projection images, where resolution is limited by the sensor's pixel size. This image sequence is then processed with a pixel super-resolution algorithm to reconstruct a single high resolution (HR) image, where features beyond the Nyquist rate of the LR images are resolved. We demonstrate the device's capabilities by imaging red blood cell, microspheres, protist Euglena gracilis, and Entamoeba invadens cysts with sub-cellular resolution. We also demonstrate the capability of SROFM for malaria infected red blood cell diagnostics.
机译:我们报告了基于超分辨率算法的完全片上芯片,无透镜,子像素解析的Optiop流体显微镜(SROFM)。 该装置利用微流体流动流过流体直接在互补金属氧化物半导体(CMOS)传感器上,以产生一系列低分辨率(LR)投影图像,其中分辨率受到传感器的像素尺寸的限制。 然后用像素超分辨率算法处理该图像序列以重建单个高分辨率(HR)图像,其中解决了超出LR图像的奈奎斯特速率的特征。 我们通过成像红细胞,微球,Euglena Gracilis和具有子细胞分辨率的entamoeba入侵囊肿来展示该设备的能力。 我们还证明了SROFM对疟疾感染的红细胞诊断的能力。

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