Choosing the Best Camera System for Your Biological Light Microscopy Needs: Part II

W Gray (Jay) Jerome
{"title":"Choosing the Best Camera System for Your Biological Light Microscopy Needs: Part II","authors":"W Gray (Jay) Jerome","doi":"10.1093/mictod/qaad063","DOIUrl":null,"url":null,"abstract":"Abstract Digital imaging has made scientific microscopy much faster and facilitated a range of imaging techniques not previously available. Advances in microscope digital image detection systems over the last decade have played an integral part in establishing digital imaging as the method of choice for most types of microscopy. Current systems represent advancements in hardware and software components adapted for both established techniques and for a variety of novel methods using light to extract microscopic detail from biological samples. These advanced systems provide an unprecedented ability to capture the most detail possible from a variety of sample types and image applications. With this complexity, however, comes the need to have a basic understanding of how individual camera systems operate so the best solution for an imaging need can be adopted. In this article, I will describe some key differences between camera options and how to evaluate whether a particular type of system is best suited to a specific research requirement. Although I have focused on the key attributes of systems for biological microscopy, the information is broadly applicable to other types of microscopic samples.","PeriodicalId":74194,"journal":{"name":"Microscopy today","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microscopy today","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/mictod/qaad063","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

Abstract Digital imaging has made scientific microscopy much faster and facilitated a range of imaging techniques not previously available. Advances in microscope digital image detection systems over the last decade have played an integral part in establishing digital imaging as the method of choice for most types of microscopy. Current systems represent advancements in hardware and software components adapted for both established techniques and for a variety of novel methods using light to extract microscopic detail from biological samples. These advanced systems provide an unprecedented ability to capture the most detail possible from a variety of sample types and image applications. With this complexity, however, comes the need to have a basic understanding of how individual camera systems operate so the best solution for an imaging need can be adopted. In this article, I will describe some key differences between camera options and how to evaluate whether a particular type of system is best suited to a specific research requirement. Although I have focused on the key attributes of systems for biological microscopy, the information is broadly applicable to other types of microscopic samples.
选择最好的相机系统为您的生物光学显微镜的需要:第二部分
数字成像使科学显微术更快,并促进了一系列以前无法获得的成像技术。在过去十年中,显微镜数字图像检测系统的进步在建立数字成像作为大多数类型显微镜选择的方法方面发挥了不可或缺的作用。当前的系统代表了硬件和软件组件的进步,既适用于已建立的技术,也适用于使用光从生物样品中提取微观细节的各种新方法。这些先进的系统提供了前所未有的能力,可以从各种样品类型和图像应用中捕获尽可能多的细节。然而,由于这种复杂性,需要对单个相机系统的运行方式有一个基本的了解,以便采用最佳的解决方案来满足成像需求。在本文中,我将描述相机选项之间的一些关键区别,以及如何评估特定类型的系统是否最适合特定的研究需求。虽然我关注的是生物显微系统的关键属性,但这些信息广泛适用于其他类型的显微样品。
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:481959085
Book学术官方微信