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Beyond morphology: whole slide imaging, computer-aided detection, and other techniques.超越形态学:全切片成像、计算机辅助检测及其他技术。
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数字病理学:21世纪神经病理学的一种工具。

Digital pathology: a tool for 21st century neuropathology.

作者信息

Guzman Miguel, Judkins Alexander R

机构信息

Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of Pennsylvania Medical Center, 3615 Civic Center Boulevard, Philadelphia, PA 19104-4318, USA.

出版信息

Brain Pathol. 2009 Apr;19(2):305-16. doi: 10.1111/j.1750-3639.2009.00264.x.

DOI:10.1111/j.1750-3639.2009.00264.x
PMID:19290997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8094780/
Abstract

Digital pathology represents an electronic environment for performing pathologic analysis and managing the information associated with this activity. The technology to create and support digital pathology has largely developed over the last decade. The use of digital pathology tools is essential to adapt and lead in the rapidly changing environment of 21st century neuropathology. The utility of digital pathology has already been demonstrated by pathologists in several areas including consensus reviews, quality assurance (Q/A), tissue microarrays (TMAs), education and proficiency testing. These utilities notwithstanding, interface issues, storage and image formatting all present challenges to the integration of digital pathology into the neuropathology work environment. With continued technologic improvements, as well as the introduction of fluorescent side scanning and multispectral detection, future developments in digital pathology offer the promise of adding powerful analytic tools to the pathology work environment. The integration of digital pathology with biorepositories offers particular promise for neuropathologists engaged in tissue banking. The utilization of these tools will be essential for neuropathologists to continue as leaders in diagnostics, translational research and basic science in the 21st century.

摘要

数字病理学代表了一种用于进行病理分析和管理与此活动相关信息的电子环境。创建和支持数字病理学的技术在过去十年中已得到很大发展。在21世纪神经病理学快速变化的环境中,使用数字病理学工具对于适应和引领该领域至关重要。数字病理学的实用性已在包括共识评审、质量保证(Q/A)、组织微阵列(TMA)、教育和能力测试等多个领域得到病理学家的证实。尽管有这些实用性,但接口问题、存储和图像格式等都给将数字病理学整合到神经病理学工作环境中带来了挑战。随着技术的不断改进,以及荧光侧扫描和多光谱检测的引入,数字病理学的未来发展有望为病理工作环境增添强大的分析工具。数字病理学与生物样本库的整合为从事组织库工作的神经病理学家带来了特别的前景。对于神经病理学家在21世纪继续成为诊断、转化研究和基础科学领域的领导者而言,利用这些工具至关重要。