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QuPath. A new digital imaging tool for geropathology.

Amanda Lee¹, Zhou Jiang¹, Lida Zhu¹

¹Department of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA.

Aging Pathobiology and Therapeutics

|January 27, 2022

Summary

Sleep deprivation in older mice significantly alters brain biomarker levels. Digital imaging with QuPath offers a reproducible method to quantify these immunohistochemistry (IHC) staining differences, aiding geropathology research.

Keywords:

Digital imaging QuPath geropathology immunohistochemistry machine learning neuropathology

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Area of Science:

Geropathology
Neuroscience
Biomarker Discovery

Background:

Immunohistochemistry (IHC) is crucial for translational research but often requires extensive pathologist analysis.
Quantifying IHC stains reproducibly and efficiently is a significant challenge for researchers and pathologists.

Purpose of the Study:

To explore QuPath, a digital imaging tool, for quantitative analysis of IHC stains.
To assess differences in brain biomarker levels in sleep-deprived versus non-sleep-deprived older mice.

Main Methods:

Utilized established immunohistochemistry (IHC) protocols on hippocampal brain tissue from older mice.
Applied QuPath software for quantitative analysis of IHC staining intensity for multiple biomarkers.
Compared staining results between sleep-deprived and control (non-sleep-deprived) groups.

Main Results:

QuPath demonstrated robust, quantitative differences in staining intensity for four key biomarkers.
Sleep-deprived mice exhibited significant alterations in biomarker levels compared to controls.
The study identified specific IHC staining patterns associated with sleep deprivation in aging brains.

Conclusions:

QuPath serves as an effective digital imaging tool for enhancing IHC analysis in geropathology.
This approach offers improved quantitative and qualitative insights into pathological differences.
The findings support the use of QuPath for reproducible biomarker quantification in aging research.