Nanometric depth resolution from multi-focal images in microscopy

Author:

Dalgarno Heather I. C.1,Dalgarno Paul A.1,Dada Adetunmise C.1,Towers Catherine E.2,Gibson Gavin J.3,Parton Richard M.4,Davis Ilan4,Warburton Richard J.15,Greenaway Alan H.1

Affiliation:

1. Physics, SUPA/IIS, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK

2. School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK

3. School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK

4. Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK

5. Department of Physics, University of Basel, Klingelbergstrasse 82, 4056 Basel, Switzerland

Abstract

We describe a method for tracking the position of small features in three dimensions from images recorded on a standard microscope with an inexpensive attachment between the microscope and the camera. The depth-measurement accuracy of this method is tested experimentally on a wide-field, inverted microscope and is shown to give approximately 8 nm depth resolution, over a specimen depth of approximately 6 µm, when using a 12-bit charge-coupled device (CCD) camera and very bright but unresolved particles. To assess low-flux limitations a theoretical model is used to derive an analytical expression for the minimum variance bound. The approximations used in the analytical treatment are tested using numerical simulations. It is concluded that approximately 14 nm depth resolution is achievable with flux levels available when tracking fluorescent sources in three dimensions in live-cell biology and that the method is suitable for three-dimensional photo-activated localization microscopy resolution. Sub-nanometre resolution could be achieved with photon-counting techniques at high flux levels.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3