Resolution-Enhanced Parallel Coded Ptychography for High-Throughput Optical Imaging
Resolution-Enhanced Parallel Coded Ptychography for High-Throughput Optical Imaging
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DOI：
10.1021/acsphotonics.1c01085
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发表时间：
2021-11-17
期刊：
影响因子：
7
通讯作者：
Zheng, Guoan
中科院分区：
文献类型：
--
作者：
Jiang, Shaowei;Guo, Chengfei;Zheng, Guoan
重叠关联成像是一种用于基础科学和应用科学的相干衍射成像技术。然而，它在光学显微镜中的应用却因其低成像通量和有限的分辨率而达不到要求。在这里，我们报告了一种分辨率增强的并行编码重叠关联技术，实现了最高的数值孔径和成像吞吐量的数量级大于以前的演示。在这个平台中，我们将样品平移到无序工程表面上，用于无透镜衍射数据采集。工程表面由化学蚀刻的微米级相位散射体和印刷的亚波长强度吸收体组成。它被设计为解锁具有空间范围（x，y）和频率内容（k（x），k（y））的光学空间，该光学空间是使用传统的基于透镜的光学器件不可访问的。为了实现最佳的分辨率性能，我们还通过考虑像素读出的空间和角度响应来报告一种新的相干衍射成像模型。我们的低成本原型可以直接解决308 nm线宽的分辨率目标没有孔径合成。可在15 s内获得有效视场为240 mm（2）的千兆像素高分辨率显微图像。为了演示，我们恢复慢变的三维相位对象与许多2 π包裹，包括光学棱镜和凸透镜。这些对象的低频相位内容是具有挑战性的，以获得使用其他现有的无透镜技术。对于数字病理学应用，我们通过使用恢复阶段作为深度神经网络中的注意力引导来执行准确的虚拟染色。并行光学处理，使用报告的技术，使新的光学仪器与固有的定量性质和多功能性。
Ptychography is an enabling coherent diffraction imaging technique for both fundamental and applied sciences. Its applications in optical microscopy, however, fall short for its low imaging throughput and limited resolution. Here, we report a resolution-enhanced parallel coded ptychography technique that achieves the highest numerical aperture and an imaging throughput orders of magnitude greater than previous demonstrations. In this platform, we translate the samples across the disorder-engineered surfaces for lensless diffraction data acquisition. The engineered surface consists of chemically etched micron-level phase scatters and printed subwavelength intensity absorbers. It is designed to unlock an optical space with spatial extent (x, y) and frequency content (k(x), k(y)) that is inaccessible using conventional lens-based optics. To achieve the best resolution performance, we also report a new coherent diffraction imaging model by considering both the spatial and angular responses of the pixel readouts. Our low-cost prototype can directly resolve a 308 nm line width on the resolution target without aperture synthesizing. Gigapixel high-resolution microscopic images with a 240 mm(2) effective field of view can be acquired in 15 s. For demonstrations, we recover slow-varying 3D phase objects with many 2 pi wraps, including optical prism and convex lens. The low-frequency phase contents of these objects are challenging to obtain using other existing lensless techniques. For digital pathology applications, we perform accurate virtual staining by using the recovered phase as attention guidance in a deep neural network. Parallel optical processing using the reported technique enables novel optical instruments with inherent quantitative nature and metrological versatility.