Polarimetric analysis of the Alzheimer’s pathology in excised mouse brain tissue

Key Points

• Alzheimer's pathology shows significant changes in skewness and kurtosis values with age, indicating nuanced statistical behavior.
• Skewness increased while kurtosis decreased as age progressed, suggesting alterations in brain tissue structure over time.
• Analysis utilizes a large dataset of excised mouse brain tissue to explore the statistical properties of Alzheimer's pathology.
• Findings highlight the potential for machine learning methods to enhance clinical diagnosis of Alzheimer's disease.

Abstract