斑点图案
散斑噪声
光学
图像质量
光学切片
显微镜
材料科学
图像处理
人工智能
瑞利散射
计算机视觉
散射
计算机科学
噪音(视频)
散斑成像
光散射
质量(理念)
图像分辨率
自适应光学
作者
SeungYun Han,KyeoReh Lee,Young Wan Kim,Chuan Li,Nicholas Bender,Kabish Wisal,Taeyun Ku,Jerome Mertz,Hui Cao
标识
DOI:10.1073/pnas.2617763123
摘要
Optical speckle patterns have been widely used for illumination in computational imaging, optical sectioning microscopy, and superresolution imaging. However, commonly used speckles satisfy Rayleigh statistics, which are not ideal for diverse imaging applications. Here we tailor three-dimensional speckle intensity statistics for dynamic speckle illumination microscopy based on linear fluorescence. Optical sectioning is enhanced by axially varying speckle contrast, and image reconstruction noise is minimized with in-focus speckles of binary intensities. The customized speckle statistics are shown to tolerate sample-induced aberration and scattering. We apply tailored speckle illumination to mouse brain vascular imaging and demonstrate much improved image quality than optical-sectioning structured illumination. These results establish customization of speckle intensity statistics as a promising strategy for robust, high-throughput fluorescence imaging in thick, scattering biological specimens.
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