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Super-resolution imaging combining the design of an optical coherence microscope objective with liquid-lens based dynamic focusing capability and computational methods

机译:基于液体透镜的动态聚焦能力和计算方法,将光学相干显微镜物镜设计的超分辨率成像与液体透镜的动态聚焦能力和计算方法

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In this paper, we present the design of a 0.2 NA microscope objective operating across a 120nm broadband spectral range that requires only two doublets and an embedded liquid lens to achieve 3hm invariant lateral resolution throughouta large 8 cubic millimeter imaging sample. Achieving invariant lateral resolution comes with some sacrifice in imagingspeed, yet in the approach proposed, high speed in vivo imaging is maintained up to a resolution of 3 hm for a 2x2 mmsample size. Thus, in anticipation to ultimately aim for a resolution of 0.5 to 1 pm, we are investigating the possibility tofurther gain in resolution using super-resolution methods so both hardware solutions and image processing methodstogether can provide the best trade-off in overall resolution and speed of imaging. As a starting point to investigate super-resolution methods, we evaluate in this paper three well-known super-resolution algorithms used to reconstruct ahigh resolution image from down-sampled low resolution images of an African frog tadpole acquired en face using ourOCM set-up. To establish ground truth necessary for assessment of the methods, low resolution images were simulatedfrom a high resolution OCM image. The specification and design performance of the custom designed microscope willbe presented as well as our first results of super-resolution imaging. The performance of each algorithm was analyzedand all performances compared using two different metrics. Early results indicate that super-resolution may play asignificant role in the optimization of high invariant resolution OCM systems.
机译:在本文中,我们介绍了在120nm宽带光谱范围内操作的0.2A的显微镜物镜,只需要两个双玻璃和嵌入式液体透镜,以实现3HM不变的横向分辨率贯穿大8立方毫米成像样品。在想象中实现了不变的横向分辨率,目前在提出的方法中,在体内成像中的高速保持高达2x2 mmsample尺寸的分辨率为3 hm。因此,在预期最终瞄准下午0.5至1点的分辨率,我们正在研究使用超分辨率方法进行训练,以便使用超分辨率方法,因此硬件解决方案和图像处理方法都可以在整体分辨率和速度下提供最佳权衡成像。作为调查超分辨率方法的起点,我们在本文中评估了三种着名的超分辨率算法,用于使用OuroCM设置从非洲青蛙蝌蚪获取的非洲青蛙蝌蚪的低分辨率图像中重建Ahigh分辨率图像。为了建立评估方法所需的基础事实,从高分辨率OCM图像模拟了低分辨率图像。 CURRICATE设计的定制显微镜的规范和设计性能,以及我们的超分辨率成像的第一个结果。使用两个不同的指标进行分析和所有性能的每种算法的性能。早期结果表明,超级分辨率可能在高不变分辨率OCM系统的优化中发挥同学作用。

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