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.
In this work, a novel biocatalytic process for the production of 7-methylxanthines from theobromine, an economic feedstock has been developed. Bench scale production of 7-methlxanthine has been demonstrated. The biocatalytic process used in this work operates at 30 OC and atmospheric pressure, and is environmentally friendly. The biocatalyst was E. coli BL21(DE3) engineered with ndmB/D genes combinations. These modifications enabled specific N7- demethylation of theobromine to 7-methylxanthine. This production process consists of uniform fermentation conditions with a specific metabolically engineered strain, uniform induction of specific enzymes for 7-methylxanthine production, uniform recovery an
... Show MoreThis study uses an Artificial Neural Network (ANN) to examine the constitutive relationships of the Glass Fiber Reinforced Polymer (GFRP) residual tensile strength at elevated temperatures. The objective is to develop an effective model and establish fire performance criteria for concrete structures in fire scenarios. Multilayer networks that employ reactive error distribution approaches can determine the residual tensile strength of GFRP using six input parameters, in contrast to previous mathematical models that utilized one or two inputs while disregarding the others. Multilayered networks employing reactive error distribution technology assign weights to each variable influencing the residual tensile strength of GFRP. Temperatur
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This work aimed PVA nanofibers in a range of concentrations were successfully manufactured via electrospinning. PVA NFs/Si was effectively prepared using the electrospinning process. The structural, morphological, optical and electrical properties of the prepared PVA were studied using XRD, FE-SEM, UV-Vis spectrophotometer and I-V characteristics, respectively. The amorphous structure of PVA nanofibers was observed. The optical energy gap from ultraviolet to visible was between (2.75 and 2.41) eV, making this compound highly sensitive to visible orange light at 610 nm, with a photosensitivity of 66%. The optical energy gap of PVA/Si heterojunction was utilized to modify this film from the UV to the visible spectrum. As show in the results,
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