High-throughput digital pathology via a handheld, multiplexed, and AI-powered ptychographic whole slide scanner
High-throughput digital pathology via a handheld, multiplexed, and AI-powered ptychographic whole slide scanner
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DOI：
10.1039/d2lc00084a
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发表时间：
2022-05-12
期刊：
影响因子：
6.1
通讯作者：
Zheng, Guoan
中科院分区：
文献类型：
--
作者：
Jiang, Shaowei;Guo, Chengfei;Zheng, Guoan
最近出现的全载玻片成像（WSI）系统已移动数字病理学更接近诊断应用和临床实践。将WSI与机器学习相结合有望在未来几年内实现这一领域的增长。在这里，我们报告了用于数字病理学应用的手持式、彩色多路复用和AI驱动的重叠关联全载玻片扫描仪的设计和实现。这款手持式扫描仪采用低成本的现成组件构建，包括用于样品照明的红色、绿色和蓝色激光二极管、用于可编程样品定位的改良载物台以及用于数据采集的同步图像传感器对。我们将单层山羊血细胞涂抹在主传感器上进行高分辨率无透镜编码重叠关联成像。同步的次级传感器用作非接触式编码器，用于精确跟踪用于重叠关联重建的绝对对象位置。对于WSI，我们引入了一种新的基于相位对比的聚焦度量，用于染色和未染色标本的采集后自动聚焦。我们表明，扫描仪可以解决388 nm线宽的分辨率目标，并获得千兆像素的图像与14 mm x 11 mm的面积在类似于70秒。成像性能通过定期染色的病理切片、未染色的甲状腺涂片和疟疾感染的血涂片进行验证。本研究中开发的深度神经网络进一步实现了使用恢复的复振幅进行高通量细胞计数分析。报告的自助扫描仪提供了一个便携式解决方案，将高端WSI系统转变为一个可以以低成本广泛使用的系统。高通量定量相位成像的能力也可以在快速现场评估中找到应用。
The recent advent of whole slide imaging (WSI) systems has moved digital pathology closer to diagnostic applications and clinical practices. Integrating WSI with machine learning promises the growth of this field in upcoming years. Here we report the design and implementation of a handheld, colour-multiplexed, and AI-powered ptychographic whole slide scanner for digital pathology applications. This handheld scanner is built using low-cost and off-the-shelf components, including red, green, and blue laser diodes for sample illumination, a modified stage for programmable sample positioning, and a synchronized image sensor pair for data acquisition. We smear a monolayer of goat blood cells on the main sensor for high-resolution lensless coded ptychographic imaging. The synchronized secondary sensor acts as a non-contact encoder for precisely tracking the absolute object position for ptychographic reconstruction. For WSI, we introduce a new phase-contrast-based focus metric for post-acquisition autofocusing of both stained and unstained specimens. We show that the scanner can resolve the 388-nm linewidth on the resolution target and acquire gigapixel images with a 14 mm x 11 mm area in similar to 70 seconds. The imaging performance is validated with regular stained pathology slides, unstained thyroid smears, and malaria-infected blood smears. The deep neural network developed in this study further enables high-throughput cytometric analysis using the recovered complex amplitude. The reported do-it-yourself scanner offers a portable solution to transform the high-end WSI system into one that can be made widely available at a low cost. The capability of high-throughput quantitative phase imaging may also find applications in rapid on-site evaluations.