A fluorescence microscopy considered as a powerful imaging tool in biology and medicine. In addition to useful signal obtained from fluorescence microscopy, there are some defects in its images such as random variation in brightness, noise that caused by photon detection and some background pixels in the acquired fluorescence microscopic images appear wrongly auto-fluorescence property. All these practical limitations have a negative impact on the correct vision and analysis of the fluorescent microscope users. Our research enters the field of automation of image processing and image analysis using image processing techniques and applying this processing and analysis on one of the very important experiments in biology science. This research is devoted to develop a system based on digital image processing methodology to localize and assess the concentration of saponins accumulation in plant tissues using Fluorescence microscopic image. The proposed system involved preprocessing steps than to make the region of interest more obvious and reflects the saponins accumulation area. Also, the system introduces a simple mathematical way for concentration assessment, and it was justified through the test results. It includes building a system to get microscopic images with best appearance and no defects. It determines the saponins accumulation sites in leaves, rhizomes and shoot apex of Y. gloriosa Variegata and their in vitro cultured tissues (Calli, direct and indirect regenerated shoots and rhizomes/roots). Statistical analysis is performed using a computer to get the mean and median of saponins intensities in each part, and finally perform a comparison between them to determine which part can record the highest intensity level of saponins. The results showed high ability of the system to determine the locations and intensity of saponins in the different parts of the plant. It performs the statistical analysis very quickly. In in vitro culture, it was found that callus treated with Thidiazuron (TDZ) in a combination with benzyl aminopurine (BA) and naphthyl acetic acid (NAA) after 3 weeks of culture had the highest level of saponins accumulation, while the leaves of intact plant recorded the second highest accumulation of saponins.
To evaluate the effects of the thermal analysis and temperature of the atmospheric heat on the optical system. it varying the thermal expansion (positive or Negative Values) of the material and then changes the characteri of the optical system properties such as radius of curvetur of the surfaces, size of the aperture stop ect.
This paper had calculated the accepted ratio of the temperature variable on the optical system during analyzing the effect of thermal analysis on the Radial Energy Distribution for +20C0 and +50C0 •
Objective: The present study investigated the effects of different dose levels of Zinc oxide Nanoparticles (ZnO NPs) on the liver and kidney tissues in albino male mice. Methadology: ZnO NPs was administrated as a daily oral dose of (150, 350 mg/kg body weight) gavage for 2 weeks. Eighteen male mices were used by dividing them into three groups. Result: Histopathological examination of kidney and hepatic tissues treated with ZnO NPs showed toxicity changes compared with control group. Conclusion:This study demonstrated the ability of ZnO NPs to affect on kidney and liver tissues. Recommendation: More study needed to know the effect of different doses of nanoparticles on human health.
The cytotoxic effect of different concentrations of Crude extracts of Solanum melongena , Curcuma longa and Daucus carota on mice mammary adenocarcinoma cell line was studied . The concentrations used were 62.5 125 , 250, 500 Microgram/militer for 24,48 and 72 hour . These exracts were prepared by using alcoholic and hot water methods . The preliminary chemical tests revealed acidic pH of all extracts. The results showed a clear toxic effect of all extracts in a time and dose –dependent manner . The Curcuma longa had the highest effect on adenocarcinoma 94.61% , followed by Solanum melonga( 93.20%) and the lowest effect was by Da
... Show MoreThe placenta is an organ between the mother and fetus necessary for fetal growth and development. Gestational diabetes mellitus (DM) is the most frequent metabolic condition detected during pregnancy. It is characterized as hyperglycemia of various severity with onset or first detection during pregnancy that does not clearly describe any form of preexisting diabetes. Urotensin II (UII), a pluripotent vasoactive peptide, is important in developing insulin resistance. This study aimed to determine the level of Urotensin II(UII) in placenta and in the serum of diabetic and nondiabetic women. Methods The blood and placenta tissue collected from 50 ladies had been enrolled in this research ( 25 females with uncomplicated), (25 women with gestati
... Show MoreThis work represents development and implementation a programmable model for evaluating pumping technique and spectroscopic properties of solid state laser, as well as designing and constructing a suitable software program to simulate this techniques . A study of a new approach for Diode Pumped Solid State Laser systems (DPSSL), to build the optimum path technology and to manufacture a new solid state laser gain medium. From this model the threshold input power, output power optimum transmission, slop efficiency and available power were predicted. different systems configuration of diode pumped solid state laser for side pumping, end pump method using different shape type (rod,slab,disk) three main parameters are (energy transfer efficie
... Show MoreMachine Learning (ML) algorithms are increasingly being utilized in the medical field to manage and diagnose diseases, leading to improved patient treatment and disease management. Several recent studies have found that Covid-19 patients have a higher incidence of blood clots, and understanding the pathological pathways that lead to blood clot formation (thrombogenesis) is critical. Current methods of reporting thrombogenesis-related fluid dynamic metrics for patient-specific anatomies are based on computational fluid dynamics (CFD) analysis, which can take weeks to months for a single patient. In this paper, we propose a ML-based method for rapid thrombogenesis prediction in the carotid artery of Covid-19 patients. Our proposed system aims
... Show MoreIn this research was conducted to provide a product to analyze the performance sensor fiber optic used to measure and feel the intensity of the electric field results showed obtained that use sensor long gives reactive high electric field strength and a high value for allergic sensor, but that is at the expense of reducing the intensity of the electric field that is detected