QuPath. A new digital imaging tool for geropathology | Lee | Aging Pathobiology and Therapeutics

QuPath. A new digital imaging tool for geropathology

Amanda Lee, Zhou Jiang, Lida Zhu, Warren Ladiges


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.

Keywords: Digital imaging, QuPath, immunohistochemistry, geropathology, neuropathology, machine learning

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