Morphological segmentation analysis and texture-based support vector machines classification on mice liver fibrosis microscopic images

Background To reduce the intensity of the work of doctors, pre-classification work needs to be issued. In this paper, a novel and related liver microscopic image classification analysis method is proposed. Objective For quantitative analysis, segmentation is carried out to extract the quantitative information of special organisms in the image for further diagnosis, lesion localization, learning and treating anatomical abnormalities and computer-guided surgery. Methods in the current work, entropy based features of microscopic fibrosis mice’ liver images were analyzed using fuzzy c-cluster, k-means and watershed algorithms based on distance transformations and gradient. A morphological segmentation based on a local threshold was deployed to determine the fibrosis areas of images. Results the segmented target region using the proposed method achieved high effective microscopy fibrosis images segmenting of mice liver in terms of the running time, dice ratio and precision. The image classification experiments were conducted using Gray Level Co-occurrence Matrix (GLCM). The best classification model derived from the established characteristics was GLCM which performed the highest accuracy of classification using a developed Support Vector Machine (SVM). The training model using 11 features was found to be as accurate when only trained by 8 GLCMs. Conclusion The research illustrated the proposed method is a new feasible research approach for microscopy mice liver image segmentation and classification using intelligent image analysis techniques. It is also reported that the average computational time of the proposed approach was only 2.335 seconds, which outperformed other segmentation algorithms with 0.8125 dice ratio and 0.5253 precision

Features of Restructuring of the Excretory Ducts of the Submandibular Gland in Case of Experimental Diabetes Using the Principal Component Analysis

Features of restructuring of the intercalated, granular and striated ducts of the submandibular gland in rats in case of streptozotocin-induced diabetes were determined using the principal component analysis. The results revealed that restructuring and priority of the changes of ducts depend on the duration of the experiment. Dysfunction of the ducts was observed beginning from the twenty-eighth day of the experiment which was confirmed by the restructuring of principal components. The functional capacity of epithelial cells of granular and striated ducts was found to be the most sensitive to pathogenic factors accompanying diabetes. The sequence and extent of pathological changes having the greatest effect on the development of dysfunction of the ducts were also identified.

Sensory Elements and Devices Operational Diagnostic Blood Glucose

The problem of monitoring diabetes is caused as a significant prevalence of the disease, and development on this basis of complex related complications, early disability and mortality. [1] So important is operational and continuous monitoring of blood glucose (MBG), which will increase rates treatment of diabetes. Currently developed compact diagnostic system CMG for both the clinic and personal use. These systems are the most invasive, requiring immediate blood sampling. At the same time, become of diagnostic devices which are based on non-invasive method that the accuracy inferior invasive, but is more promising, because they have more functionality in terms of ease of measurement, storage and processing results. These systems include a measuring device and sensor elements. This paper will review methods and analysis of the basic principles of measurement devices MBG to develop circuit solutions for the creation of sensor and microsystem elements for noninvasive monitoring MBG. Keywords: diabetes, sensors, invasive and noninvasive methods, blood glucose levels.</p

The Study of Blood Vessels of Submandibular Gland and Urinary Bladder in Rats Using an Original Morphometric Analysis

The theoretical substantiation of the features of original algorithms for determining the radius of the lumen and the thickness of the vessel wall was provided. The features of using the algorithm for determining the wall thickness in order to calculate other indicators of hemocapillaries were indicated. The original computer software “VesselsMorpho Tools for ImageJ” was developed based on the algorithms mentioned above. It automatically determined a range of metric indicators of blood vessels. The most important among them were: the lumen area, lumen radius and lumen diameter, shape factor of the inner perimeter, total cross-sectional area of the vessel, wall thickness, Kernohan and Vohenvort indices, capillary basement membrane and BV transport zone thickness.This computer program reduces the time and is convenient and easy to use. The user only outlines the internal and external perimeters of BV, the outer contour of the lamina densa (on the electron microscope image of a capillary only) and the program automatically displays all indicators in table format and shows the result of measurements on photographs using different colours.More precise values of morphometric parameters of hemocapillaries of the submandibular gland and blood vessels of the mucous membrane of the urinary bladder being specific for one-year male Wistar rats were obtained.

The Structure of Submandibular and Sublingual Salivary Glands Parenchyma and Their Acini Morphometric Characteristics Using Factor Models

Relevance. Perspective area of investigating salivary glands (SG) is the study of the structure of their acini and excretory ducts in pathological processes models. The obtained results are compared with the results of studying intact animals. Literature data concerning structural organization of the intact rats’ SG differ in ways of morphometry performing, quantitative indicators and are often contradictory in their results. Objective. To study the structure of submandibular (SMDG) and sublingual (SLG) salivary glands parenchyma in intact mature rats and determine the significance of various morphometric parameters of acini. Materials and methods. Histological sections were stained with hematoxylin-eosin and semifine ones with methylene blue. Electronic and microscopic study was performed by the generally accepted method. The morphometric analysis was performed at the light and optical level. We determined the area of profile fields, the elongation coefficient and forms of acini and their nuclei.To compare the results we used Mann-Whitney test. The exploratory factor analysis was performed. Results. We have learned characteristic  features of  SMDG and SLG  acini structure and the significance of various morphometric parameters. It was ascertained, that the  system of excretory ducts of glands particles is represented by intercalated,  striated and intralobular ducts. We have also found granular ducts in SMDG. The obtained factor models characterize salivary glands functioning in intact animals and are determined by two latent factors. Conclusions. 1) structural features of acini and their morphometric characteristics are specific for 12-months old intact male rats; 2) received factor models determine a large part of the total dispersion parameters of both SG and are adequate; 3) the similarity of factor structures of SG confirms the principle of intasystem organization of the cells of their final secretory departments; 4) Factor 1 is a factor of morphofunctional state of nuclei and Factor 2 is a factor of morphofunctional state of the cellular composition of acini