Giannini John P, Lu Rongwen, Bower Andrew J, Fariss Robert, Tam Johnny
National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Biomed Opt Express. 2022 Apr 25;13(5):3042-3055. doi: 10.1364/BOE.454560. eCollection 2022 May 1.
Adaptive optics reflectance-based retinal imaging has proved a valuable tool for the noninvasive visualization of cells in the living human retina. Many subcellular features that remain at or below the resolution limit of current techniques may be more easily visualized with the same modalities in an setting. While most microscopy techniques provide significantly higher resolution, enabling the visualization of fine cellular detail in retinal samples, they do not replicate the reflectance-based imaging modalities of retinal imaging. Here, we introduce a strategy for imaging samples using the same imaging modalities as those used for retinal imaging, but with increased resolution. We also demonstrate the ability of this approach to perform protein-specific fluorescence imaging and reflectance imaging simultaneously, enabling the visualization of nearly transparent layers of the retina and the classification of cone photoreceptor types.
基于自适应光学反射的视网膜成像已被证明是一种用于在活体人类视网膜中对细胞进行无创可视化的有价值工具。许多处于或低于当前技术分辨率极限的亚细胞特征,在相同模式下的自适应光学环境中可能更容易被可视化。虽然大多数显微镜技术提供了显著更高的分辨率,能够在离体视网膜样本中可视化精细的细胞细节,但它们无法复制活体视网膜成像的基于反射的成像模式。在此,我们介绍一种使用与活体视网膜成像相同的成像模式对离体样本进行成像的策略,但分辨率有所提高。我们还展示了这种方法同时进行蛋白质特异性荧光成像和反射成像的能力,能够可视化视网膜几乎透明的层以及对视锥光感受器类型进行分类。