QuPath。用于老年病理学的新型数字成像工具。

Amanda Lee, Zhou Jiang, Lida Zhu, Warren Ladiges
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引用次数: 0

摘要

转化研究经常利用免疫组化(IHC)来研究临床或实验室环境中的病理差异。然而,这些研究大多需要训练有素的病理学家进行大量工作,才能对切片进行有意义的分析。为了探索对病理学家和研究科学家来说既可重复又高效的量化 IHC 染色的新方法,QuPath 作为一种新的数字成像工具得到了探索。使用既定的 IHC 方案对老年睡眠不足小鼠大脑的海马区进行染色,以探索生物标志物水平,从而深入了解可测量的差异。报告描述了 QuPath 的应用特点,定量显示睡眠不足的小鼠与非睡眠不足的小鼠相比,在四种不同生物标记物的染色强度上存在显著差异。这些观察结果为 QuPath 作为数字成像工具提供了理论依据,从而提高了 IHC 染色在老年病学领域的定量和定性实用性。
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QuPath. A new digital imaging tool for geropathology.

Translational research regularly utilizes immunohistochemistry (IHC) to investigate pathological differences in the clinical or laboratory setting. However, the majority of these studies require the extensive work of a trained pathologist to analyze slides in a meaningful way. In order to explore new ways to quantitate IHC stains in a manner that is reproducible and efficient for both pathologists and research scientists, QuPath was explored as a new digital imaging tool. The hippocampal area of brains from older sleep deprived mice were stained using established IHC protocols to explore biomarker levels that would be insightful for measurable differences. Application features of QuPath are described that quantitatively show sleep deprived mice had robust differences in staining intensity for four different biomarkers compared to non-sleep deprived mice. These observations provide the rationale for QuPath as a digital imaging tool to enhance the quantitative and qualitative usefulness of IHC staining in the field of geropathology.

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