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Cervical pathologies are frequently occuring diseases and may affect women’s quality of life in many ways. These pathologies are curable with early detection and with a following suitable treatment plans. Colposcopy is a standard examination among screening methods which are used to early detect the abnormal lesions on cervix’s surface. Recently, studies about processing polarized image show ability to support diagnosis of the cervix. In this research, we use cervix’s polarized images and image processing algorithms to segment the blood distribution of Nabothian cyst and Trichomonas vaginalis infection. These results have the potential to provide underlying information of the cervix to support the diagnosis.

Cervical disease is one of the common diseases, it occurs in women and has a growing tendency. In particular, cervical cancer is one of the most common diseases. The disease can be cured if it is detected early and treated under the guidance of a physician. The usual cervical examination methods are biopsies, and colposcopy. Recently, many studies have applied imaging techniques in the analysis and evaluation of cervical pathology characteristics [1-3]. In this study, we improved the traditional colposcopy with a polarized light source, and captured images with high resolution. Based on the image obtained, we developed image processing algorithms, initially analyzed and evaluated some of the common features of cervical disease

A novel ligand 4,4’-(1H,1’H-5,5’-bibenzo[D]imidazol-2,2’-diyl)dibenzoic acid, was synthesized and fully characterized by various spectroscopic methods such FT-IR, 1H, 13C-NMR and DEPT analysis. MOFs material derived from this ligand and zinc nitrate has been synthesized by solvothermal method. The structure of the new MOFs was examined by powder XRD, thermogravimetric analysis (TGA) and the nitrogen physical uptake reveal the surface area based on Langmuir theory is up to 147 m2/g.