Emerging Advances to Transform Histopathology Using Virtual Staining.
Emerging Advances to Transform Histopathology Using Virtual Staining.
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DOI：
10.34133/2020/9647163
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Ozcan A
中科院分区：
文献类型：
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作者：
Rivenson Y;de Haan K;Wallace WD;Ozcan A
在一个数字化在临床和临床前工作流程中普遍存在的时代，病理学仍然主要通过粘贴在玻璃片上的染色组织标本的显微镜评估来进行。在过去的十年里，新的高通量数字扫描显微镜开启了数字病理学时代，与机器视觉的最新进展一起，为计算机辅助诊断开辟了新的可能性。尽管取得了这些进展，但与数字病理学相关的高昂基础设施成本，以及认为数字化过程是额外的和不可直接报销的步骤的看法，对其广泛采用构成了挑战。在这里，我们讨论新兴的虚拟染色技术和机器学习如何帮助颠覆标准的组织病理学工作流程，并为诊断范式创造新的途径，这将通过数字病理学使患者和医疗保健系统受益。
In an age where digitization is widespread in clinical and preclinical workflows, pathology is still predominantly practiced by microscopic evaluation of stained tissue specimens affixed on glass slides. Over the last decade, new high throughput digital scanning microscopes have ushered in the era of digital pathology that, along with recent advances in machine vision, have opened up new possibilities for Computer-Aided-Diagnoses. Despite these advances, the high infrastructural costs related to digital pathology and the perception that the digitization process is an additional and nondirectly reimbursable step have challenged its widespread adoption. Here, we discuss how emerging virtual staining technologies and machine learning can help to disrupt the standard histopathology workflow and create new avenues for the diagnostic paradigm that will benefit patients and healthcare systems alike via digital pathology.