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数字化鱼类文库:利用 MRI 技术对鱼类的形态多样性进行数字化、数据库化和文献记录。

The Digital Fish Library: using MRI to digitize, database, and document the morphological diversity of fish.

机构信息

Center for Scientific Computation in Imaging, University of California San Diego, La Jolla, California, United States of America.

出版信息

PLoS One. 2012;7(4):e34499. doi: 10.1371/journal.pone.0034499. Epub 2012 Apr 6.

Abstract

Museum fish collections possess a wealth of anatomical and morphological data that are essential for documenting and understanding biodiversity. Obtaining access to specimens for research, however, is not always practical and frequently conflicts with the need to maintain the physical integrity of specimens and the collection as a whole. Non-invasive three-dimensional (3D) digital imaging therefore serves a critical role in facilitating the digitization of these specimens for anatomical and morphological analysis as well as facilitating an efficient method for online storage and sharing of this imaging data. Here we describe the development of the Digital Fish Library (DFL, http://www.digitalfishlibrary.org), an online digital archive of high-resolution, high-contrast, magnetic resonance imaging (MRI) scans of the soft tissue anatomy of an array of fishes preserved in the Marine Vertebrate Collection of Scripps Institution of Oceanography. We have imaged and uploaded MRI data for over 300 marine and freshwater species, developed a data archival and retrieval system with a web-based image analysis and visualization tool, and integrated these into the public DFL website to disseminate data and associated metadata freely over the web. We show that MRI is a rapid and powerful method for accurately depicting the in-situ soft-tissue anatomy of preserved fishes in sufficient detail for large-scale comparative digital morphology. However these 3D volumetric data require a sophisticated computational and archival infrastructure in order to be broadly accessible to researchers and educators.

摘要

博物馆鱼类收藏拥有丰富的解剖学和形态学数据,这些数据对于记录和理解生物多样性至关重要。然而,获取标本进行研究并不总是可行的,而且经常与维护标本和收藏整体的物理完整性相冲突。因此,非侵入性的三维(3D)数字成像在促进这些标本的数字化解剖学和形态学分析方面发挥着关键作用,并为这种成像数据的高效在线存储和共享提供了一种便利的方法。在这里,我们描述了数字鱼类图书馆(DFL,http://www.digitalfishlibrary.org)的开发,这是一个在线数字档案库,其中包含了一系列保存在斯克里普斯海洋学研究所海洋脊椎动物收藏中的鱼类软组织解剖结构的高分辨率、高对比度磁共振成像(MRI)扫描。我们已经对 300 多种海洋和淡水物种进行了成像和上传 MRI 数据,开发了一个具有基于网络的图像分析和可视化工具的数据存档和检索系统,并将这些集成到公共 DFL 网站中,以便在网络上免费传播数据和相关元数据。我们表明,MRI 是一种快速而强大的方法,可以准确描绘保存在原位的鱼类的软组织解剖结构,其细节足以进行大规模的比较数字形态学研究。然而,这些 3D 体积数据需要复杂的计算和存档基础设施,以便能够广泛地为研究人员和教育工作者所访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/186f/3321017/3a86b790132e/pone.0034499.g001.jpg

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