Computed optical coherence microscopy of mouse brain ex vivo
Computed optical coherence microscopy of mouse brain ex vivo
复制标题
离体小鼠大脑的计算光学相干显微镜
DOI：
10.1117/1.jbo.24.11.116002
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发表时间：
2019
影响因子：
3.5
通讯作者：
Adie, Steven G.
中科院分区：
文献类型：
--
作者：
Wu, Meiqi;Small, David M.;Nishimura, Nozomi;Adie, Steven G.
横向分辨率和可用成像深度范围之间的折衷是光学相干层析成像（OCT）的瓶颈。现有的光学相干显微镜（OCM）解决方案要么存在数据量大、采集时间长、要么存在非理想点扩展函数的问题。利用计算自适应光学（CAO），我们提出了具有大深度覆盖的小鼠活体脑的体积OCM，以显着减少高斯光束在不同深度聚焦时需要获取的OCM体积数量。我们展示了前动物大脑的体积重建，横向分辨率为2.2 μm，轴向分辨率为4.7 μm，光程长度深度范围为~ 1.2 mm，仅使用光谱域OCM系统获得的11个OCT数据体积。与步长等于光束瑞利长度的聚焦扫描相比，体积成像所需的数据集减少了4倍。共登记双光子显微镜证实，CAO-OCM重建可以看到大脑中各种组织微观结构。我们的研究结果还强调了CAO在高散射介质中的局限性，特别是当试图重建远离焦平面或在样品深处成像时。
The compromise between lateral resolution and usable imaging depth range is a bottleneck for optical coherence tomography (OCT). Existing solutions for optical coherence microscopy (OCM) suffer from either large data size and long acquisition time or a nonideal point spread function. We present volumetric OCM of mouse brainex vivowith a large depth coverage by leveraging computational adaptive optics (CAO) to significantly reduce the number of OCM volumes that need to be acquired with a Gaussian beam focused at different depths. We demonstrate volumetric reconstruction ofex-vivomouse brain with lateral resolution of 2.2 μm, axial resolution of 4.7 μm, and depth range of ∼1.2 mm optical path length, using only 11 OCT data volumes acquired on a spectral-domain OCM system. Compared to focus scanning with step size equal to the Rayleigh length of the beam, this is a factor of 4 fewer datasets required for volumetric imaging. Coregistered two-photon microscopy confirmed that CAO-OCM reconstructions can visualize various tissue microstructures in the brain. Our results also highlight the limitations of CAO in highly scattering media, particularly when attempting to reconstruct far from the focal plane or when imaging deep within the sample.
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影响因子：
3.6
作者：
Goergen CJ;Radhakrishnan H;Sakadžić S;Mandeville ET;Lo EH;Sosnovik DE;Srinivasan VJ
通讯作者：
Srinivasan VJ
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
N. Shemonski;S. Ahn;Y. Liu;F. South;P. S. Carney;S. Boppart;B. Povazay;C. Hofer;B. Torti
通讯作者：
N. Shemonski;S. Ahn;Y. Liu;F. South;P. S. Carney;S. Boppart;B. Povazay;C. Hofer;B. Torti
影响因子：
3.6
作者：
F. South;Y. Liu;Pin-Chieh Huang;Tabea Kohlfarber;S. Boppart
通讯作者：
F. South;Y. Liu;Pin-Chieh Huang;Tabea Kohlfarber;S. Boppart
影响因子：
3.8
作者：
Badon, Amaury;Boccara, A. Claude;Aubry, Alexandre
通讯作者：
Aubry, Alexandre
影响因子：
3.4
作者：
Farrar, Matthew J.;Wise, Frank W.;Schaffer, Chris B.
通讯作者：
Schaffer, Chris B.