Computational adaptive optics for polarization-sensitive optical coherence tomography.
Computational adaptive optics for polarization-sensitive optical coherence tomography.
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DOI：
10.1364/ol.418637
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发表时间：
2021-05-01
期刊：
影响因子：
3.6
通讯作者：
Boppart, Stephen A.
中科院分区：
文献类型：
--
作者：
Wang, Jianfeng;Chaney, Eric J.;Aksamitiene, Edita;Marjanovic, Marina;Boppart, Stephen A.
光学系统中的散焦像差，包括采用高斯照明的光学相干断层扫描（OCT）系统，会导致横向分辨率和景深之间众所周知的折衷。这会导致失焦时图像模糊，而 OCT 系统和生物样本中存在的其他低阶像差（例如散光、彗形像差等）进一步降低图像分辨率和对比度。计算自适应光学 (CAO) 是一种计算光学干涉成像技术，可修改空间频域中的 OCT 数据的相位，以校正光学像差并改善整个三维 (3D) 体积的图像质量。在这封信中，我们报告了首次在偏振敏感 OCT 中实施 CAO，以纠正散焦和其他低阶像差，在 3D OCT 体模、模制塑料、离体鸡胸肉组织和离体人乳腺癌组织上提供增强的偏振敏感成像对比度（即强度和相位延迟）。
Defocus aberration in optical systems, including optical coherence tomography (OCT) systems employing Gaussian illumination, gives rise to the well-known compromise between transverse resolution and depth-of-field. This results in blurry images when out-of-focus, whilst other low-order aberrations (e.g., astigmatism, coma, etc.) present in both the OCT system and biological samples further reduce image resolution and contrast. Computational adaptive optics (CAO) is a computed optical interferometric imaging technique that modifies the phase of the OCT data in the spatial frequency domain to correct optical aberrations and provide improvement of the image quality throughout the three-dimensional (3D) volume. In this Letter, we report the first implementation of CAO for polarization-sensitive OCT to correct defocus and other low-order aberrations, providing enhanced polarization-sensitive imaging contrast (i.e., intensity and phase retardation) on a 3D OCT phantom, molded plastics, ex vivo chicken breast tissue, and ex vivo human breast cancer tissue.