Opt Lett. 2022 Sep 1;47(17):4331-4334. doi: 10.1364/OL.463705.
Conventional histopathological examinations are time-consuming and labor-intensive, and are insufficient to depict 3D pathological features intuitively. Here we report an ultrafast 3D histological imaging scheme based on optimized selective plane illumination microscopy (mSPIM), a minutes-time scale clearing method (FOCM), and a deep learning-based image enhancement algorithm (SRACNet) to realize histological preparation and imaging of clinical tissues. Our scheme enables 1-minute clearing and fast imaging (up to 900 mm/min) of 200 µm-thick mouse kidney slices at micron-level resolution. With hematoxylin and eosin analog, we demonstrated the detailed 3D morphological connections between glomeruli and the surrounding tubules, which is difficult to identify in conventional 2D histology. Further, by the preliminary verification on human kidney tissues, this study will provide new, to the best of our knowledge, feasible histological solutions and inspirations in future 3D digital pathology.
传统的组织病理学检查既耗时又费力，而且不足以直观地描绘 3D 病理特征。在这里，我们报告了一种基于优化选择平面照明显微镜（mSPIM）、分钟级尺度清除方法（FOCM）和基于深度学习的图像增强算法（SRACNet）的超快 3D 组织学成像方案，以实现临床组织的组织学制备和成像。我们的方案能够在 200μm 厚的小鼠肾脏切片上以微米级分辨率实现 1 分钟的快速清除和成像（高达 900mm/min）。我们使用苏木精和伊红类似物，展示了肾小球和周围小管之间详细的 3D 形态连接，这在传统的 2D 组织学中很难识别。此外，通过对人肾组织的初步验证，本研究将为未来的 3D 数字病理学提供新的、据我们所知可行的组织学解决方案和启示。
