This paper introduces an automatic system for maintaining the zero interference band in interferometric measurements. It facilitates precise measurements of maximum (Imax) and minimum (Imin) intensities across the investigated area for interference pattern visibility. The system employs a piezoceramic modulator for interference fringe generation, synchronized detectors for simultaneous Imax and Imin registration, and automatic phase control to ensure phase coherency. This system enhances measurement accuracy and efficiency, finding applications in interferometric experiments involving phase-inhomogeneous objects and dispersive media.
To conduct effective research on internal energy flows, we synthesized fluorescent carbon nanodots (CNDs) as test particles. The choice of synthesis methods and starting materials was based on relatively simple technologies. Structural and optical parameters of the CNDs were determined. To address the issue of capturing and retaining fluorescent nanoparticles smaller than 100 nm, we created polymer microspheres by introducing synthesized carbon quantum dots with high quantum yield into them.
In this study, a new approach of surface analysis and restoration of the three-dimensional landscape of ultra-smooth surfaces is proposed. The use of carbon nanoparticles with a significant dipole moment and luminescence intensity is proposed for diagnosing the heights of surface inhomogeneities. To reproduce the profile of the studied surface, we use two successive stages of studying the surface. At the first stage, it is assumed that the electric field acts on a glass plate on which carbon nanoparticles are distributed. At the second stage, it is considered that the electric field acts on the plate, without nanoparticles. Significant luminescence of carbon nanoparticles allows visualization of the particles with subsequent reconstruction of the intensity distribution and reproduction of the surface structure according to the distribution of inhomogeneities.
The aim of this work is to improve the diagnosis of cervical cancer by introducing laser polarimetry and spectro polarization methods of investigation. We have proposed a novel approach for the differentiation of squamous cell carcinoma and cervical adenocarcinoma using laser optics. Obtained by the method of laser polarimetry by Stokes parameter S4 of native smear with adenocarcinoma of the cervix and squamous cell carcinoma, as well as scraping of the mud canal with endometrial adenocarcinoma and flat cell cancer allows to reliably differentiate the norm from cancer in the native smear and adenocarcinoma from the flat cell cancer in the smear-imprint. The method of spectropolarimetry allows reliably accurately distinguishing the normal epithelium of the cervix from cancer of the cervix, and the parameters of linear dichroism during the spectropolarization study, reliably (р=0,001) differentiate between normal, adenocarcinoma and flat cell cancer of the cervix.
The purpose of the work was to demonstrate the possibility of optical diagnosis of cytological smears of the cervix for the presence of HPV using spectral and polarization methods. Comparison of cervical specimens with and without coilocytosis, irradiated with a range-shifted polarized radiation, showed significant differences in the values of linear dichroism and its spectral dependences. The difference between the coilocyte response characteristic in the range 395-415 nm was calculated using computer programs. As a result, the use of spectropolarization studies and the fluorescence method will improve the accuracy of patient selection for a costly procedure - high-carcinogenic DNA diagnostics of HPV by the standard method of polymerase chain reaction.
The method of vascular segmentation is considered as one of the main approaches to the creation of automated retinal analysis tools. Improved retinal image analysis that can be used for segmented vascular tree to calculate vessel diameter and tortuosity, differentiation of veins and arteries together with measurement of arteriovenous ratio. The algorithm of segmentation of the retinal vessels based on fuzzy clustering of c-means and the method of setting the level is proposed. Morphological processes, CLAHE, and appropriate image filtering techniques were used to enhance the picture before fuzzy clustering of vascular pixels. A method of segmentation on publicly available datasets that uses common validation metrics in retinal vessel segmentation is proposed.
The method of vascular segmentation is considered as one of the main approaches to the creation of automated retinal analysis tools. Improved retinal image analysis that can be used for segmented vascular tree to calculate vessel diameter and tortuosity, differentiation of veins and arteries together with measurement of arteriovenous ratio. The algorithm of segmentation of the retinal vessels based on fuzzy clustering of c-means and the method of setting the level is proposed. Morphological processes, CLAHE, and appropriate image filtering techniques were used to enhance the picture before fuzzy clustering of vascular pixels. A method of segmentation on publicly available datasets that uses common validation metrics in retinal vessel segmentation is proposed.
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