数字显微镜,图像分析和虚拟幻灯片库。

IF 3.1 3区 农林科学 Q1 VETERINARY SCIENCES Ilar Journal Pub Date : 2018-12-01 DOI:10.1093/ilar/ily007
Famke Aeffner, Hibret A Adissu, Michael C Boyle, Robert D Cardiff, Erik Hagendorn, Mark J Hoenerhoff, Robert Klopfleisch, Susan Newbigging, Dirk Schaudien, Oliver Turner, Kristin Wilson
{"title":"数字显微镜,图像分析和虚拟幻灯片库。","authors":"Famke Aeffner,&nbsp;Hibret A Adissu,&nbsp;Michael C Boyle,&nbsp;Robert D Cardiff,&nbsp;Erik Hagendorn,&nbsp;Mark J Hoenerhoff,&nbsp;Robert Klopfleisch,&nbsp;Susan Newbigging,&nbsp;Dirk Schaudien,&nbsp;Oliver Turner,&nbsp;Kristin Wilson","doi":"10.1093/ilar/ily007","DOIUrl":null,"url":null,"abstract":"<p><p>Advancements in technology and digitization have ushered in novel ways of enhancing tissue-based research via digital microscopy and image analysis. Whole slide imaging scanners enable digitization of histology slides to be stored in virtual slide repositories and to be viewed via computers instead of microscopes. Easier and faster sharing of histologic images for teaching and consultation, improved storage and preservation of quality of stained slides, and annotation of features of interest in the digital slides are just a few of the advantages of this technology. Combined with the development of software for digital image analysis, digital slides further pave the way for the development of tools that extract quantitative data from tissue-based studies. This review introduces digital microscopy and pathology, and addresses technical and scientific considerations in slide scanning, quantitative image analysis, and slide repositories. It also highlights the current state of the technology and factors that need to be taken into account to insure optimal utility, including preanalytical considerations and the importance of involving a pathologist in all major steps along the digital microscopy and pathology workflow.</p>","PeriodicalId":56299,"journal":{"name":"Ilar Journal","volume":"59 1","pages":"66-79"},"PeriodicalIF":3.1000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/ilar/ily007","citationCount":"44","resultStr":"{\"title\":\"Digital Microscopy, Image Analysis, and Virtual Slide Repository.\",\"authors\":\"Famke Aeffner,&nbsp;Hibret A Adissu,&nbsp;Michael C Boyle,&nbsp;Robert D Cardiff,&nbsp;Erik Hagendorn,&nbsp;Mark J Hoenerhoff,&nbsp;Robert Klopfleisch,&nbsp;Susan Newbigging,&nbsp;Dirk Schaudien,&nbsp;Oliver Turner,&nbsp;Kristin Wilson\",\"doi\":\"10.1093/ilar/ily007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Advancements in technology and digitization have ushered in novel ways of enhancing tissue-based research via digital microscopy and image analysis. Whole slide imaging scanners enable digitization of histology slides to be stored in virtual slide repositories and to be viewed via computers instead of microscopes. Easier and faster sharing of histologic images for teaching and consultation, improved storage and preservation of quality of stained slides, and annotation of features of interest in the digital slides are just a few of the advantages of this technology. Combined with the development of software for digital image analysis, digital slides further pave the way for the development of tools that extract quantitative data from tissue-based studies. This review introduces digital microscopy and pathology, and addresses technical and scientific considerations in slide scanning, quantitative image analysis, and slide repositories. It also highlights the current state of the technology and factors that need to be taken into account to insure optimal utility, including preanalytical considerations and the importance of involving a pathologist in all major steps along the digital microscopy and pathology workflow.</p>\",\"PeriodicalId\":56299,\"journal\":{\"name\":\"Ilar Journal\",\"volume\":\"59 1\",\"pages\":\"66-79\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/ilar/ily007\",\"citationCount\":\"44\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ilar Journal\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1093/ilar/ily007\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ilar Journal","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/ilar/ily007","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 44

摘要

技术和数字化的进步带来了通过数字显微镜和图像分析加强组织研究的新方法。整个切片成像扫描仪使数字化的组织学切片存储在虚拟的切片库中,并通过计算机而不是显微镜来查看。更容易和更快地共享用于教学和咨询的组织学图像,改进染色玻片的存储和保存质量,以及在数字玻片中注释感兴趣的特征只是该技术的几个优点。结合数字图像分析软件的发展,数字幻灯片进一步为从基于组织的研究中提取定量数据的工具的发展铺平了道路。这篇综述介绍了数字显微镜和病理学,并讨论了在切片扫描、定量图像分析和切片库中的技术和科学考虑。它还强调了当前的技术状况和需要考虑的因素,以确保最佳的效用,包括分析前的考虑和病理学家参与数字显微镜和病理工作流程的所有主要步骤的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Digital Microscopy, Image Analysis, and Virtual Slide Repository.

Advancements in technology and digitization have ushered in novel ways of enhancing tissue-based research via digital microscopy and image analysis. Whole slide imaging scanners enable digitization of histology slides to be stored in virtual slide repositories and to be viewed via computers instead of microscopes. Easier and faster sharing of histologic images for teaching and consultation, improved storage and preservation of quality of stained slides, and annotation of features of interest in the digital slides are just a few of the advantages of this technology. Combined with the development of software for digital image analysis, digital slides further pave the way for the development of tools that extract quantitative data from tissue-based studies. This review introduces digital microscopy and pathology, and addresses technical and scientific considerations in slide scanning, quantitative image analysis, and slide repositories. It also highlights the current state of the technology and factors that need to be taken into account to insure optimal utility, including preanalytical considerations and the importance of involving a pathologist in all major steps along the digital microscopy and pathology workflow.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ilar Journal
Ilar Journal 农林科学-兽医学
CiteScore
5.10
自引率
20.00%
发文量
8
审稿时长
>18 weeks
期刊介绍: The ILAR Journal is the peer-reviewed, theme-oriented publication of the Institute for Laboratory Animal Research (ILAR), which provides timely information for all who study, use, care for, and oversee the use of animals in research. The journal publishes original articles that review research on animals either as direct subjects or as surrogates for humans. According to policy, any previously unpublished animal research reported in the ILAR Journal will have been conducted according to the scientific, technical, and humanely appropriate guidelines current at the time the research was conducted in accordance with the Guide for the Care and Use of Laboratory Animals or other guidance provided by taxonomically-oriented professional societies (e.g., American Society of Mammalogy) as referenced in the Guide.
期刊最新文献
ILAR: A Retrospective and Prospective Look A Structured Approach to Optimizing Animal Model Selection for Human Translation: The Animal Model Quality Assessment. Livestock and Risk Group 4 Pathogens: Researching Zoonotic Threats to Public Health and Agriculture in Maximum Containment. Fit for Purpose Assessment: A New Direction for IACUCs. Animals as Beneficiaries of Biomedical Research Originally Intended for Humans.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1