Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution
Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution
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DOI：
10.1364/osac.391644
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发表时间：
2020-04-15
期刊：
影响因子：
1.6
通讯作者：
Dholakia, Kishan
中科院分区：
文献类型：
--
作者：
Corsetti, Stella;Wijesinghe, Philip;Dholakia, Kishan
跨长度尺度和深度的成像一直是宽视场光学成像的重要追求。这有望在组织样本的宽视场快照内揭示精细的细胞细节。当前的进步通常通过选择性子采样来牺牲分辨率，以在合理的时间尺度内提供宽视场。我们展示了一种使用深度学习超分辨率从光片显微镜中的子采样数据恢复高分辨率图像的新途径。我们结合联合收割机，这与使用一个宽视场艾里光束，以实现高分辨率的成像在扩展的视野和深度。我们将我们的方法应用于荧光微珠作为测试目标。然后，我们证明了阿尔茨海默病小鼠模型的透明大脑以及切除的健康和癌性结肠和乳腺组织中淀粉样蛋白斑块成像的改进。这种发展可以广泛应用于所有形式的光片显微镜，以提供成像长度尺度的动态范围的两倍增加。它有可能提供进一步深入了解神经科学，发育生物学和组织病理学。由The Optical Society根据Creative Commons Attribution 4.0 License条款发布。
Imaging across length scales and in depth has been an important pursuit of widefield optical imaging. This promises to reveal fine cellular detail within a widefield snapshot of a tissue sample. Current advances often sacrifice resolution through selective sub-sampling to provide a wide field of view in a reasonable time scale. We demonstrate a new avenue for recovering high-resolution images from sub-sampled data in light sheet microscopy using deep-learning super-resolution. We combine this with the use of a widefield Airy beam to achieve high-resolution imaging over extended fields of view and depths. We characterise our method on fluorescent beads as test targets. We then demonstrate improvements in imaging amyloid plaques in a cleared brain from a mouse model of Alzheimer's disease, and in excised healthy and cancerous colon and breast tissues. This development can be widely applied in all forms of light sheet microscopy to provide a two-fold increase in the dynamic range of the imaged length scale. It has the potential to provide further insight into neuroscience, developmental biology, and histopathology. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License.