PYCALIBRATE: FULLY AUTOMATED PSF ANALYSIS

A. Corbett
{"title":"PYCALIBRATE: FULLY AUTOMATED PSF ANALYSIS","authors":"A. Corbett","doi":"10.22443/rms.elmi2021.11","DOIUrl":null,"url":null,"abstract":"STANDARDISING IMAGE ANALYSIS: One of the key barriers to data reproducibility is the lack of standardization in microscope quality control (QC). Microscope QC requires standardization of both the sample used to measure microscope performance and the software used to analyse the images acquired. Despite there being several commercial (e.g. SVI Huygens) and freely available (PSFJ, MetroloJ) software solutions available there is currently no single package that is widely used by the microscopy community. Moreover, the solutions that do exist are semi-automated, requiring user input to define acquisition parameters and providing a window for error. This lack of automation and standardization makes performance comparisons between different microscopes unreliable.","PeriodicalId":334941,"journal":{"name":"Proceedings of the European Light Microscopy Initiative 2021","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the European Light Microscopy Initiative 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22443/rms.elmi2021.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

STANDARDISING IMAGE ANALYSIS: One of the key barriers to data reproducibility is the lack of standardization in microscope quality control (QC). Microscope QC requires standardization of both the sample used to measure microscope performance and the software used to analyse the images acquired. Despite there being several commercial (e.g. SVI Huygens) and freely available (PSFJ, MetroloJ) software solutions available there is currently no single package that is widely used by the microscopy community. Moreover, the solutions that do exist are semi-automated, requiring user input to define acquisition parameters and providing a window for error. This lack of automation and standardization makes performance comparisons between different microscopes unreliable.
Pycalibrate:全自动PSF分析
标准化图像分析:影响数据重现性的主要障碍之一是显微镜质量控制(QC)缺乏标准化。显微镜质量控制要求对用于测量显微镜性能的样品和用于分析所获得图像的软件进行标准化。尽管有一些商业(例如SVI Huygens)和免费(PSFJ, MetroloJ)软件解决方案可用,但目前没有一个单一的软件包被显微镜社区广泛使用。此外,现有的解决方案是半自动化的,需要用户输入来定义获取参数,并为错误提供一个窗口。这种缺乏自动化和标准化使得不同显微镜之间的性能比较不可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信