Optimal point spread function design for 3D imaging.
Optimal point spread function design for 3D imaging.
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DOI：
10.1103/physrevlett.113.133902
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发表时间：
2014-09-26
影响因子：
8.6
通讯作者：
Moerner WE
中科院分区：
文献类型：
--
作者：
Shechtman Y;Sahl SJ;Backer AS;Moerner WE
为了从单个纳米尺度物体的图像中提取有关其位置的最大物理信息，我们提出并演示了一种用于需要精确定位的3D成像应用的光瞳平面调制框架，包括单粒子跟踪和超分辨率显微镜。该方法以最大化系统的信息量为基础，通过建立和求解适当的优化问题--寻找能够产生具有最佳Fisher信息特性的PSF的光瞳平面相位模式--来实现最大化。我们使用我们的方法生成并实验演示了两个示例PSF：一个针对3μm景深的3D定位精度进行了优化，另一个具有史无前例的5μm景深，两者都设计为在物理上常见的高背景信号条件下执行。
To extract from an image of a single nanoscale object maximum physical information about its position, we propose and demonstrate a framework for pupil-plane modulation for 3D imaging applications requiring precise localization, including single-particle tracking and super-resolution microscopy. The method is based on maximizing the information content of the system, by formulating and solving the appropriate optimization problem – finding the pupil-plane phase pattern that would yield a PSF with optimal Fisher information properties. We use our method to generate and experimentally demonstrate two example PSFs: one optimized for 3D localization precision over a 3 μm depth of field, and another with an unprecedented 5 μm depth of field, both designed to perform under physically common conditions of high background signals.