High-throughput whole-slide scanning to enable large-scale data repository building.
High-throughput whole-slide scanning to enable large-scale data repository building.
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高通量整张切片扫描，支持大规模数据存储库构建。
DOI：
10.1002/path.5923
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发表时间：
2022-07
期刊：
影响因子：
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中科院分区：
文献类型：
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数字病理学和人工智能(AI)依赖于患者材料的数字化作为必要的第一步。人工智能的发展得益于大样本量和多样化的队列，因此，将玻璃片数字化的努力必须以高效和具有成本效益的方式满足这些需求。全载玻片成像的技术创新通过扫描仪容量、速度和自动化的协调提高，使高通量载玻片扫描成为可能。将这些硬件创新与自动化信息学方法相结合，实现了更高效的工作流程，并有机会使用更少的人员提供更高质量的图像数据。在这里，我们回顾了部署高通量扫描的几个实际注意事项，并提出了以质量为重点提高效率的策略。最后，我们回顾了剩余的挑战，并呼吁供应商在自动化和质量控制领域进行创新，以使资源有限的实验室能够实现高通量扫描。©2022作者。《病理学杂志》由John Wiley&Sons Ltd代表大不列颠和爱尔兰病理学会出版。
Digital pathology and artificial intelligence (AI) rely on digitization of patient material as a necessary first step. AI development benefits from large sample sizes and diverse cohorts, and therefore efforts to digitize glass slides must meet these needs in an efficient and cost‐effective manner. Technical innovation in whole‐slide imaging has enabled high‐throughput slide scanning through the coordinated increase in scanner capacity, speed, and automation. Combining these hardware innovations with automated informatics approaches has enabled more efficient workflows and the opportunity to provide higher‐quality imaging data using fewer personnel. Here we review several practical considerations for deploying high‐throughput scanning and we present strategies to increase efficiency with a focus on quality. Finally, we review remaining challenges and issue a call to vendors to innovate in the areas of automation and quality control in order to make high‐throughput scanning realizable to laboratories with limited resources. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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影响因子：
4.6
作者：
Zarella, Mark D.;Bowman, Douglas;Hartman, Douglas, I
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del Moral, Raimundo G.
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