Perbedaan Kualitas Spermatozoa Mencit Jantan (Mus Musculus L) Yang Diberikan Vitamin C Setelah Pemaparan Asap Rokok

: Vitamin C is an antioxidant that suppresses the oxidative stress caused by cigarette smoke purpose of this study demonstrate whether vitamin C can provide a different quality of sperm male mice Mus musculus L are given exposure to cigarette smoke. Methodology: The study subjects are 32 male mice Mus musculus L, which were randomly divided into 2 groups. The first group was the control group (K) who received treatment exposure from cigarette smoke without giving vitamin C and the second group is the treatment group (P) are given exposure from cigarette smoke and vitamin C dose of 0.40 mg / gBB /day. The treatment during 30 days, on day 31 the mice were terminated, and then examined the quality of spermatozoa motility of spermatozoa, sperm concentration and morphology of spermatozoa. Results: Test oneway ANOVA on the mean motility of spermatozoa showed Ma control group (47,38%), Mb (11,88%), Mc (18,13%), Md (22,63%) and the Ma treatment group (11.68%), Mb (17,04%), Mc (35,77%), Md (16,5%). The mean concentration of spermatozoa obtained 63,34x105/ml control group and the treatment group and the mean morphology of spermatozoa 81,75x105/ml control group showed normal morphology 50% and abnormal morphology 56,189% while the treatment group showed normal morphology 60% and 40% abnormal. Result from Oneway ANOVA test there are differences significant in the morphology of spermatozoa, concentration of spermatozoa, sperm concentration, and sperm morphology between groups (p <0,05). Conclusion: Vitamin C can improve the quality of spermatozoa after exposure to cigarette smoke

High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles

<p>Abstract</p> <p>Background</p> <p>High content screening (HCS)-based image analysis is becoming an important and widely used research tool. Capitalizing this technology, ample cellular information can be extracted from the high content cellular images. In this study, an automated, reliable and quantitative cellular image analysis system developed in house has been employed to quantify the toxic responses of human H4 neuroglioma cells exposed to metal oxide nanoparticles. This system has been proved to be an essential tool in our study.</p> <p>Results</p> <p>The cellular images of H4 neuroglioma cells exposed to different concentrations of CuO nanoparticles were sampled using IN Cell Analyzer 1000. A fully automated cellular image analysis system has been developed to perform the image analysis for cell viability. A multiple adaptive thresholding method was used to classify the pixels of the nuclei image into three classes: bright nuclei, dark nuclei, and background. During the development of our image analysis methodology, we have achieved the followings: (1) The Gaussian filtering with proper scale has been applied to the cellular images for generation of a local intensity maximum inside each nucleus; (2) a novel local intensity maxima detection method based on the gradient vector field has been established; and (3) a statistical model based splitting method was proposed to overcome the under segmentation problem. Computational results indicate that 95.9% nuclei can be detected and segmented correctly by the proposed image analysis system.</p> <p>Conclusion</p> <p>The proposed automated image analysis system can effectively segment the images of human H4 neuroglioma cells exposed to CuO nanoparticles. The computational results confirmed our biological finding that human H4 neuroglioma cells had a dose-dependent toxic response to the insult of CuO nanoparticles.</p

RES-Scanner:a software package for genome-wide identification of RNA-editing sites

BACKGROUND: High-throughput sequencing (HTS) provides a powerful solution for the genome-wide identification of RNA-editing sites. However, it remains a great challenge to distinguish RNA-editing sites from genetic variants and technical artifacts caused by sequencing or read-mapping errors. RESULTS: Here we present RES-Scanner, a flexible and efficient software package that detects and annotates RNA-editing sites using matching RNA-seq and DNA-seq data from the same individuals or samples. RES-Scanner allows the use of both raw HTS reads and pre-aligned reads in BAM format as inputs. When inputs are HTS reads, RES-Scanner can invoke the BWA mapper to align reads to the reference genome automatically. To rigorously identify potential false positives resulting from genetic variants, we have equipped RES-Scanner with sophisticated statistical models to infer the reliability of homozygous genotypes called from DNA-seq data. These models are applicable to samples from either single individuals or a pool of multiple individuals if the ploidy information is known. In addition, RES-Scanner implements statistical tests to distinguish genuine RNA-editing sites from sequencing errors, and provides a series of sophisticated filtering options to remove false positives resulting from mapping errors. Finally, RES-Scanner can improve the completeness and accuracy of editing site identification when the data of multiple samples are available. CONCLUSION: RES-Scanner, as a software package written in the Perl programming language, provides a comprehensive solution that addresses read mapping, homozygous genotype calling, de novo RNA-editing site identification and annotation for any species with matching RNA-seq and DNA-seq data. The package is freely available. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-016-0143-4) contains supplementary material, which is available to authorized users

High-detectivity ultraviolet photodetectors based on laterally mesoporous GaN

Photodetectors for the ultraviolet (UV) range of the electromagnetic spectrum are in great demand for several technologies, but require the development of novel device structures and materials. Here we report on the high detectivity of UV photodetectors based on well-ordered laterally mesoporous GaN. The specific detectivity of our devices under UV-illumination reaches values of up to 5.3×1014 Jones. We attribute this high specific detectivity to the properties of the mesoporous GaN/metal contact interface: the trapping of photo-generated holes at the interface lowers the Schottky barrier height thus causing a large internal gain. The high detectivity along with the simple fabrication process make these laterally mesoporous GaN photodetectors of great potential for applications that require selective detection of weak optical signals in the UV range