Suppr超能文献

一种用于自然历史显微镜载玻片的新型自动大规模数字化工作流程。

A Novel Automated Mass Digitisation Workflow for Natural History Microscope Slides.

作者信息

Allan E Louise, Livermore Laurence, Price Benjamin W, Shchedrina Olha, Smith Vincent S

机构信息

Natural History Museum, London, United Kingdom Natural History Museum London United Kingdom.

出版信息

Biodivers Data J. 2019 Mar 1;7:e32342. doi: 10.3897/BDJ.7.e32342. eCollection 2019.

Abstract

The Natural History Museum, London (NHM) has embarked on an ambitious programme to digitise its collections. One aim of the programme has been to improve the workflows and infrastructure needed to support high-throughput digitisation and create comprehensive digital inventories of large scientific collections. This paper presents the workflow developed to digitise the entire Phthiraptera (parasitic lice) microscope slide collection (70,663 slides). Here we describe a novel process of semi-automated mass digitisation using both temporary and permanent barcode labels applied before and during slide imaging. By using a series of barcodes encoding information associated with each slide (i.e. unique identifier, location in the collection and taxonomic name), we can run a series of automated processes, including file renaming, image processing and bulk import into the NHM's collection management system. We provide data on the comparative efficiency of these processes, illustrating how simple activities, like automated file renaming, reduces image post-processing time, minimises human error and can be applied across multiple collection types.

摘要

伦敦自然历史博物馆(NHM)已着手开展一项雄心勃勃的计划,对其藏品进行数字化处理。该计划的一个目标是改进支持高通量数字化所需的工作流程和基础设施,并创建大型科学藏品的全面数字清单。本文介绍了为将整个虱目(寄生虱)显微镜载玻片藏品(70,663张载玻片)数字化而开发的工作流程。在这里,我们描述了一种新颖的半自动大规模数字化过程,该过程使用在载玻片成像之前和期间应用的临时和永久条形码标签。通过使用一系列编码与每张载玻片相关信息(即唯一标识符、藏品中的位置和分类名称)的条形码,我们可以运行一系列自动化流程,包括文件重命名、图像处理以及批量导入NHM的藏品管理系统。我们提供了这些流程的比较效率数据,说明了诸如自动文件重命名等简单活动如何减少图像后处理时间、将人为错误降至最低,并且可以应用于多种藏品类型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8547/6408422/545212650a12/bdj-07-e32342-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验