tailieunhanh - Báo cáo y học: "The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging. | Software Open Access The Open Microscopy Environment OME Data Model and XML file open tools for informatics and quantitative analysis in biological imaging Ilya G Goldberg Chris Allan Jean-Marie Burel Doug Creager Andrea Falconi Harry Hochheiser Josiah Johnston Jeff Mellen Peter K Sorger and Jason R Swedlow Addresses Image Informatics and Computational Biology Unit Laboratory of Genetics National Institute on Aging National Institutes of Health 333 Cassell Drive Baltimore MD 21224 USA. Division of Gene Regulation and Expression University of Dundee Dow Street Dundee DD1 5EH Scotland UK. Department of Biology Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA. Correspondence Jason RSwedlow. E-mail jason@ Published 3 May 2005 Genome Biology 2005 6 R47 doi gb-2005-6-5-r47 The electronic version of this article is the complete one and can be found online at http 2005 6 5 R47 Received 4 February 2005 Revised 29 March 2005 Accepted 12 April 2005 2005 Goldberg et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract The Open Microscopy Environment OME defines a data model and a software implementation to serve as an informatics framework for imaging in biological microscopy experiments including representation of acquisition parameters annotations and image analysis results. OME is designed to support high-content cell-based screening as well as traditional image analysis applications. The OME Data Model expressed in Extensible Markup Language XML and realized in a traditional database is both extensible and self-describing allowing it to meet emerging imaging and analysis needs. Rationale Biological microscopy has always required an imaging .

TÀI LIỆU LIÊN QUAN
TỪ KHÓA LIÊN QUAN
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.