Sample Drift Correction Following 4D Confocal Time-lapse Imaging

The generation of four-dimensional (4D) confocal datasets; consisting of 3D image sequences over time; provides an excellent methodology to capture cellular behaviors involved in developmental processes.  The ability to track and follow cell movements is limited by sample movements that occur due to drift of the sample or, in some cases, growth during image acquisition. Tracking cells in datasets affected by drift and/or growth will incorporate these movements into any analysis of cell position. This may result in the apparent movement of static structures within the sample. Therefore prior to cell tracking, any sample drift should be corrected. Using the open source Fiji distribution ¹  of ImageJ ^2,3 and the incorporated LOCI tools ⁴, we developed the Correct 3D drift plug-in to remove erroneous sample movement in confocal datasets. This protocol effectively compensates for sample translation or alterations in focal position by utilizing phase correlation to register each time-point of a four-dimensional confocal datasets while maintaining the ability to visualize and measure cell movements over extended time-lapse experiments.     

以电子注册为手段, 推进高校学籍管理建设

学籍管理是高校教学管理工作的一项重要内容,是保证高校正常教学秩序,形成良好学风、教风和校风的重要保障。电子注册则是传统学籍管理工作在新形势下的延续和发展。实现电子注册,对保证高等教育质量,维护高校的社会形象和大学生的合法权益,起着很重要的保障作用。学籍管理是实施电子注册的基础,电子注册则是加强学籍管理的有效手段。     

Factors affecting the robustness of metabolite fingerprinting using 1H NMR spectra

1H NMR spectroscopy is one of the techniques whose potential is currently being explored in the emerging field of metabolomics. It is a non-targeted method, producing signals for all proton-containing chemical species. For crude plant materials the spectra are always complex, with many signals overlapping. Hence a most suitable approach for analysing them is 'metabolite fingerprinting', which is aimed at highlighting compositional similarities and exploring the overall natural variability in a population of samples. The most commonly used method for this is principal component analysis (PCA), as it allows the whole spectral trace to be analysed and the vast quantity of information to be simplified. In this paper we investigate whether there are factors which may affect the NMR spectra in a way that subsequently decreases the robustness of the metabolite fingerprinting by PCA. Imperfections in the signal registration (i.e. inconsistency of the peak position) are generally detrimental to analysing whole traces by multivariate methods. The sources of such problems are illustrated through specially designed repeatability studies using potato and tomato samples, and the analysis of a tea dataset containing many samples. Careful sample preparation can help to limit peak shifts; for instance here by attempting to control the pH of the extracts. In addition, some compounds are susceptible to interactions affecting their chemical shifts and mathematical alignment of peaks may be necessary. Lastly factors such as resolution can also affect analyses and must be carefully adjusted. Our choice of examples aims to raise awareness of potential problems. We do not question the validity of the NMR approach, but point out those areas where special care may need to be taken.     

门诊退号原因调查分析及管理对策

通过对2007—2010年挂号、退号数据的分析研究,得出导致退号的原因中,医疗资源不足、病患家长不愿意长时间等候是首要原因,其他原因既有病患方面的,也有医院管理方面的。通过对各种原因的综合分析,提出改进医院门诊挂号管理的建议：预约挂号——按时间段实名制预约挂号,错峰门诊,以此促进医疗效率的提高。     

“互联网+”背景下医院挂号缴费模式的机遇与挑战

随着“互联网+”的推广及普遍应用,基于互联网的信息技术在医疗服务行业迅速发展。网络预约挂号和移动支付等挂号缴费新模式的推行为解决医院“三长一短”的问题带来了新的契机。通过对“互联网+”背景下医院在挂号、缴费等方面的现状研究,提出了新模式下可能存在的问题及改进建议。

     

使用Radon变换进行二维MRI图像配准

使用了一种基于Radon变换的技术来进行二维的MRI图像配准。MRI的图像配准一般使用灰度配准,而Radon变换一般用于CT图像的重建,虽然现已经存在使用Radon变换进行图像配准,但是比较繁琐,我们对这一配准算法进行了简化。