使用结构照明检眼镜实现活体视网膜超分辨成像
Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy
AI总结：
本文提出将结构照明显微镜与自适应光学及运动厚组织重建算法结合，克服活体成像中的运动、像差与低信噪比等挑战，首次实现人眼视网膜的高对比度超分辨活体成像。
摘要：
结构照明显微镜（SIM）是最通用的超分辨技术之一。然而，它对活体成像的应用此前主要局限于荧光和静止样本。在此，我们提出SIM的进展，以共同应对活体样本成像的所有挑战，即在处理样本运动、散射、样本引起的光学像差和低信噪比的同时，在无畸变的宽视场上获得超分辨。通过使用自适应光学补偿光学像差以及为运动和厚组织量身定制的重建算法，我们成功将SIM应用于活体视网膜成像，并展示了结构照明检眼镜，用于人类视网膜的高对比度超分辨活体成像。
英文摘要：
Structured illumination microscopy (SIM) is one of the most versatile super-resolution techniques. Yet, its application to live imaging has been so far mainly limited to fluorescent and stationary specimens. Here, we present advancements in SIM to jointly tackle all the challenges of imaging living samples, i.e., obtaining super-resolution over an undistorted wide-field while dealing with sample motion, scattering, sample-induced optical aberrations and low signal-to-noise ratio. By using adaptive optics to compensate for optical aberrations and a reconstruction algorithm tailored for a moving and thick tissue, we successfully applied SIM to in vivo retinal imaging and demonstrated structured illumination ophthalmoscopy for high contrast super-resolution in vivo imaging of the human retina.
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