The detection and imaging of the microvascular map play a vital role in providing valuable pathological evidence for a variety of physiological disorders. Optical coherence tomography angiography (OCTA) is a non-invasive technique that allows high-speed, high-resolution visualization of microvascular networks without the need for contrast agents and invasive manipulation. In this study, we developed a fiber-based polarization-sensitive optical coherence tomography (PS-OCT) system that utilizes a 200 kHz swept source at 1310 nm. To reduce phase artifacts and provide excellent motion contrast for vascular imaging, we have incorporated the complex correlated phase gradient variance (CCPGV) method. Additionally, to address the challenges posed by birefringence dispersion, we implemented a dual-state numerical dispersion compensation method. By imaging human skin, we have successfully demonstrated the effectiveness of our system in visualizing the vascular map while minimizing noise interference. The high-quality imaging and accurate visualization of vascular networks provided by our system hold significant potential in enhancing the understanding and assessment of various pathological conditions. This can benefit both researchers and clinicians in their biomedical investigations and patient care.
As a serious threat to women's lives and health, cervical cancer ranks second only to breast cancer in the incidence rate and mortality rate among female tumors in the world. Early diagnosis and treatment could be conducive to improving patients' survival activity index. Mueller matrix imaging polarimeter can detect the full polarization characteristics of a sample, and has shown an optimistic prospect in diagnosing various diseases. By analyzing the polarization parameters related to scattering and optical anisotropic properties of samples, detailed microstructure information can be obtained. In this paper, an in-house high-precision Mueller matrix imaging polarimeter with an objective lens NA of 0.40 was used to detect dewaxed, unstained, and unsealed cervical pathological sections, including 325 cases of CIN 1, CIN 2, CIN 3, and normal cervical tissues respectively. The Mueller matrix polar decomposition parameters, including depolarization, retardance, and diattenuation of different degrees of cervical tissues are derived. The relationship between the structure and polarization characteristics of different lesions was analyzed. Furthermore, by utilizing the receiver operating characteristic (ROC) curves, the optimal diagnostic threshold, specificity and sensitivity are calculated. Simultaneously, the diagnostic reliability of the MMIP with different polarization parameters among normal, CIN 1, CIN-2, and CIN-3 cervical tissue sections is demonstrated at about 82.8%-99.8%. This study proves the reliability and effectiveness of the self-developed MMIP in the detection of cervical tissue sections and is expected to become a powerful tool to assist doctors in pathological diagnosis.
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