Python-Microscope – a new open-source Python library for the control of microscopes

Author:

Susano Pinto David Miguel1ORCID,Phillips Mick A.1ORCID,Hall Nicholas1ORCID,Mateos-Langerak Julio23ORCID,Stoychev Danail1ORCID,Susano Pinto Tiago1,Booth Martin J.4ORCID,Davis Ilan1ORCID,Dobbie Ian M.1ORCID

Affiliation:

1. Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK

2. IGH, University of Montpellier, CNRS, 141 rue de la Cardonille, 34396 Montpellier, France

3. Montpellier Ressources Imagerie, BioCampus, University of Montpellier, CNRS, INSERM, 141 rue de la Cardonille, 34094 Montpellier, France

4. Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK

Abstract

ABSTRACT Custom-built microscopes often require control of multiple hardware devices and precise hardware coordination. It is also desirable to have a solution that is scalable to complex systems and that is translatable between components from different manufacturers. Here we report Python-Microscope, a free and open-source Python library for high-performance control of arbitrarily complex and scalable custom microscope systems. Python-Microscope offers simple to use Python-based tools, abstracting differences between physical devices by providing a defined interface for different device types. Concrete implementations are provided for a range of specific hardware, and a framework exists for further expansion. Python-Microscope supports the distribution of devices over multiple computers while maintaining synchronisation via highly precise hardware triggers. We discuss the architectural features of Python-Microscope that overcome the performance problems often raised against Python and demonstrate the different use cases that drove its design: integration with user-facing projects, namely the Microscope-Cockpit project; control of complex microscopes at high speed while using the Python programming language; and use as a microscope simulation tool for software development.

Funder

Wellcome Trust

Medical Research Council

Engineering and Physical Sciences Research Council

Biotechnology and Biological Sciences Research Council

Infrastructures en Biologie Santé et Agronomie

Centre National de la Recherche Scientifique

University of Oxford

Publisher

The Company of Biologists

Subject

Cell Biology

Reference22 articles.

1. Stable stimulated emission depletion imaging of extended sample regions;Alvelid;ournal of Physics D: Applied Physics,2019

2. ilastik: interactive machine learning for (bio)image analysis;Berg;Nat. Methods,2019

3. ACQ4: an open-source software platform for data acquisition and analysis in neurophysiology research;Campagnola;Frontiers in Neuroinformatics,2014

4. Fast live simultaneous multiwavelength four-dimensional optical microscopy;Carlton;Proc. Natl Acad. Sci. USA,2010

5. Software for microscopy workshop white paper;Chhetri,2020

Cited by 11 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