Toxicologic Pathology Forum*: Virtual Staining of Nonclinical Study Slides-A Brief Review of the Current Status and Future Opportunities.

IF 1.8 4区 医学 Q3 PATHOLOGY
Esther E V Crouch
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引用次数: 0

Abstract

Virtual staining of unstained tissue for histologic assessment is the subject of burgeoning research and has been approached using various methodologies. This technology has the potential to reduce laboratory turnaround time, reduce consumption of chemicals and water, and improve occupational health and safety for laboratory personnel. In addition, the technology presents the alluring prospect of non-destructive hematoxylin and eosin histologic examination, allowing unlimited multiplexing on the same section, and improved image analysis techniques that are unimpeded by inter- and intra-laboratory stain variation. Recent advancements in this field and projections of applicability to nonclinical pharmaceutical development and discovery pathology settings warrant a brief review. Virtual staining has been applied most widely to unlabeled (unstained) tissue but has also been used in stain-to-stain transformation. Specimen input varies from conventional formalin-fixed paraffin-embedded tissue to partially processed or intact tissue. Imaging is commonly traditional brightfield or fluorescence, although other modalities are available. Depending on the imaging modality, computational methods such as deep learning neural networks are used to infer the virtual stain that is ultimately viewed as a digitized histologic image. Current barriers to applicability include qualification, histologic quality, generative artificial intelligence concerns, training material acquisition, and infrastructure.

毒理学病理论坛*:非临床研究幻灯片的虚拟染色——现状和未来机会的简要回顾。
对未染色组织进行组织学评估的虚拟染色是新兴研究的主题,已经采用各种方法进行了研究。这项技术有可能缩短实验室的周转时间,减少化学品和水的消耗,并改善实验室人员的职业健康和安全。此外,该技术提供了非破坏性苏木精和伊红组织学检查的诱人前景,允许在同一切片上无限多路复用,并改进了不受实验室间和实验室内染色变化影响的图像分析技术。该领域的最新进展以及对非临床药物开发和发现病理设置的适用性预测需要简要回顾。虚拟染色已广泛应用于未标记(未染色)组织,但也用于染色到染色转化。标本输入从传统的福尔马林固定石蜡包埋组织到部分处理或完整的组织不等。成像通常是传统的明场或荧光,尽管其他方式可用。根据成像方式,使用深度学习神经网络等计算方法来推断最终被视为数字化组织学图像的虚拟染色。目前的应用障碍包括资质、组织学质量、生成人工智能关注、培训材料获取和基础设施。
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来源期刊
Toxicologic Pathology
Toxicologic Pathology 医学-病理学
CiteScore
4.70
自引率
20.00%
发文量
57
审稿时长
6-12 weeks
期刊介绍: Toxicologic Pathology is dedicated to the promotion of human, animal, and environmental health through the dissemination of knowledge, techniques, and guidelines to enhance the understanding and practice of toxicologic pathology. Toxicologic Pathology, the official journal of the Society of Toxicologic Pathology, will publish Original Research Articles, Symposium Articles, Review Articles, Meeting Reports, New Techniques, and Position Papers that are relevant to toxicologic pathology.
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