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Virtual Microscopy in Medical Research - Open European Nephrology Science Center (OpEN.SC)

机译:医学研究中的虚拟显微镜-开放式欧洲肾脏病科学中心(OpEN.SC)

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摘要

The amount and heterogeneity of data in biomedical research, notably in transnational research, requires new methods for the collection, presentation and analysis of information. Important data from laboratory experiments as well as patient trials are available as images. Thus, the integration and processing of image data represent a crucial component of information systems in biomedical research. The Charite Medical School in Berlin has established a new information service center for kidney diseases and transplantation (Open European Nephrology Science Centre - OpEN.SC) together with the German Research Agency (DFG). The aims of this project are (ⅰ) to improve the availability of raw data, (ⅱ) to establish an infrastructure for clinical trials, (ⅲ) to monitor the occurrence of rare disease patterns and (ⅳ) to establish a quality assurance system. Major diagnostic procedures in medicine are based on the processing and analysis of image data. In diagnostic pathology, the availability of automated slide scanners provide the opportunity to digitize entire microscopic slides. The processing, presentation and analysis of these image data are called virtual microscopy. The integration of this new technology into the OpEN.SC system and the link to other heterogeneous data of individual patients represent a major technological challenge. Thus, new ways in communication between clinical and scientific partners have to be established and will be promoted by the project. The technological basis of the repository are web services for a scalable and adaptable system. HL7 and DICOM are considered the main medical standards of communication.
机译:生物医学研究(尤其是跨国研究)中数据的数量和异质性要求采用新的方法来收集,呈现和分析信息。来自实验室实验以及患者试验的重要数据以图像形式提供。因此,图像数据的集成和处理代表了生物医学研究中信息系统的关键组成部分。柏林的Charite医学院与德国研究机构(DFG)一起建立了一个新的肾脏疾病和移植信息服务中心(开放式欧洲肾脏病科学中心-OpEN.SC)。该项目的目的是(ⅰ)改善原始数据的可用性;(ⅱ)建立临床试验的基础设施;(ⅲ)监测罕见疾病模式的发生;(ⅳ)建立质量保证体系。医学上的主要诊断程序基于图像数据的处理和分析。在诊断病理学中,自动载玻片扫描仪的可用性提供了将整个微观载玻片数字化的机会。这些图像数据的处理,呈现和分析称为虚拟显微镜。将该新技术集成到OpEN.SC系统中以及与单个患者的其他异构数据的链接代表了一项重大技术挑战。因此,必须建立临床合作伙伴与科学合作伙伴之间进行交流的新方式,并将通过该项目加以推广。存储库的技术基础是用于可伸缩和适应性系统的Web服务。 HL7和DICOM被认为是通信的主要医学标准。

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