Image-based adaptive optics for in vivo imaging in the hippocampus.
Image-based adaptive optics for in vivo imaging in the hippocampus.
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DOI：
10.1038/srep42924
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发表时间：
2017-02-21
影响因子：
4.6
通讯作者：
Malvache A
中科院分区：
文献类型：
--
作者：
Champelovier D;Teixeira J;Conan JM;Balla N;Mugnier LM;Tressard T;Reichinnek S;Meimon S;Cossart R;Rigneault H;Monneret S;Malvache A
自适应光学是一种有前途的改进组织显微镜的技术。已经提出了大量间接和直接波前传感方法用于实验动物模型的体内成像。将这些方法中的大多数应用于复杂样品都面临着内在的和/或实际的困难。在这里，我们展示了一种针对不均匀标记的生物样品理论上优化的波前校正方法。我们在稀疏标记区域（例如海马锥体细胞层）的脑组织中展示了其在 200μm 深度的性能，其中细胞表达 GCamP6。该方法被设计为与样本无关，因为通过使用我们设计的基于图像的度量对感兴趣的对象进行自动轴向锁定。使用这种方法，我们显示海马体内成像质量的提高。
Adaptive optics is a promising technique for the improvement of microscopy in tissues. A large palette of indirect and direct wavefront sensing methods has been proposed for in vivo imaging in experimental animal models. Application of most of these methods to complex samples suffers from either intrinsic and/or practical difficulties. Here we show a theoretically optimized wavefront correction method for inhomogeneously labeled biological samples. We demonstrate its performance at a depth of 200 μm in brain tissue within a sparsely labeled region such as the pyramidal cell layer of the hippocampus, with cells expressing GCamP6. This method is designed to be sample-independent thanks to an automatic axial locking on objects of interest through the use of an image-based metric that we designed. Using this method, we show an increase of in vivo imaging quality in the hippocampus.