Mueller Matrix Imaging Optimized by Uniform Illumination

Article Computer Science, Interdisciplinary Applications

A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions

Yang Dong et al.

Summary: The framework combining polarization imaging and traditional microscopy enables accurate and interpretable quantitative characterization of microstructural variations in cervical precancerous tissues, improving sensitivity and accuracy in diagnosis.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)

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Article Engineering, Biomedical

Deriving Polarimetry Feature Parameters to Characterize Microstructural Features in Histological Sections of Breast Tissues

Yang Dong et al.

Summary: This study proposes a pixel-based extraction approach for polarimetry feature parameters using an LDA classifier to quantitatively characterize the three DPFs in TBTs. Experimental results demonstrate the characterization accuracy for PFPs ranging from 0.82 to 0.91.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2021)

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Review Optics

Polarisation optics for biomedical and clinical applications: a review

Chao He et al.

Summary: This review focuses on the application of vectorial information obtained through polarization optics in biomedical and clinical research, with an emphasis on methodologies related to tissue polarimetry and the adoption of the Stokes-Mueller formalism. It also presents recent breakthroughs, development trends, and potential multimodal uses in conjunction with other techniques.

LIGHT-SCIENCE & APPLICATIONS (2021)

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Article Optics