Confocal super-resolution microscopy based on a spatial mode sorter.
Confocal super-resolution microscopy based on a spatial mode sorter.
复制标题
基于空间模式分类器的共焦超分辨率显微镜。
作者：
Katherine K M Bearne;Yiyu Zhou;B. Braverman;Jing Yang;S. A. Wadood;A. Jordan;A. N. Vamivakas;Zhimin Shi;R. Boyd
空间分辨率是成像系统最重要的性能指标之一。量子参数估计理论的最新结果表明，通过使用空间模式分类器，可以有效地确定两个非相干点源之间的任意小距离。然而，由于多参数估计问题的内在复杂性，将此过程扩展到由许多不相干点源组成的一般对象仍然具有挑战性。在这里，我们推广Richardson-Lucy（RL）反卷积算法来解决这一挑战。我们模拟其应用程序的非相干共聚焦显微镜，与Zernike空间模式分选机取代针孔在传统的共聚焦显微镜。我们测试不同的空间不相干的任意几何形状的对象，我们发现，基于分选的显微镜的分辨率增强平均超过30%，高于传统的共聚焦显微镜使用标准的RL反卷积算法。我们的方法可能被用于不同的应用，如荧光显微镜和天文成像。
Spatial resolution is one of the most important specifications of an imaging system. Recent results in the quantum parameter estimation theory reveal that an arbitrarily small distance between two incoherent point sources can always be efficiently determined through the use of a spatial mode sorter. However, extending this procedure to a general object consisting of many incoherent point sources remains challenging, due to the intrinsic complexity of multi-parameter estimation problems. Here, we generalize the Richardson-Lucy (RL) deconvolution algorithm to address this challenge. We simulate its application to an incoherent confocal microscope, with a Zernike spatial mode sorter replacing the pinhole used in a conventional confocal microscope. We test different spatially incoherent objects of arbitrary geometry, and we find that the resolution enhancement of sorter-based microscopy is on average over 30% higher than that of a conventional confocal microscope using the standard RL deconvolution algorithm. Our method could potentially be used in diverse applications such as fluorescence microscopy and astronomical imaging.
影响因子：
2.9
作者：
Sisi Zhou;Liang Jiang
通讯作者：
Sisi Zhou;Liang Jiang