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Article Abstract
Backscattering Mueller matrix polarimetry has recently received wide attention in biomedical and clinical applications. However, during practical measurements, pixel saturation can inevitably arise from the specular reflection process, leading to inaccurate tissue information acquisition. In this Letter, we systematically analyze the influence of pixel saturation on backscattering Mueller matrix polarimetry. It is theoretically and experimentally found that coupling schemes and saturation thresholds of polarization channels influence Mueller matrix imaging. Meanwhile, the saturation area inversely correlates with incident angles. Based on the analysis, we propose an image fusion optimization strategy to recover accurate polarization properties from saturated Mueller matrix images. This study provides a reference for addressing saturation challenges in computational Mueller matrix polarimetry for biomedical studies and clinical applications.
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| http://dx.doi.org/10.1364/OL.567394 | DOI Listing |
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