Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]

Commercial fluorescence microscope stands and fully automated XYZt fluorescence imaging systems are generally beyond the limited budgets available for teaching and outreach. We have addressed this problem by developing “Microscopi”, an accessible, affordable, DIY automated imaging system that is bui...

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Main Authors: Andrew Jefferson, Matthew Wincott, Martin J. Booth, Ian M. Dobbie, Richard M. Parton, Ilan Davis
Format: Article
Language:English
Published: Wellcome 2022-03-01
Series:Wellcome Open Research
Subjects:
Online Access:https://wellcomeopenresearch.org/articles/6-63/v2
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author Andrew Jefferson
Matthew Wincott
Martin J. Booth
Ian M. Dobbie
Richard M. Parton
Ilan Davis
author_facet Andrew Jefferson
Matthew Wincott
Martin J. Booth
Ian M. Dobbie
Richard M. Parton
Ilan Davis
author_sort Andrew Jefferson
collection DOAJ
description Commercial fluorescence microscope stands and fully automated XYZt fluorescence imaging systems are generally beyond the limited budgets available for teaching and outreach. We have addressed this problem by developing “Microscopi”, an accessible, affordable, DIY automated imaging system that is built from 3D printed and commodity off-the-shelf hardware, including electro-mechanical, computer and optical components. Our design features automated sample navigation and image capture with a simple web-based graphical user interface, accessible with a tablet or other mobile device. The light path can easily be switched between different imaging modalities. The open source Python-based control software allows the hardware to be driven as an integrated imaging system. Furthermore, the microscope is fully customisable, which also enhances its value as a learning tool. Here, we describe the basic design and demonstrate imaging performance for a range of easily sourced specimens.
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spelling doaj.art-b8b9858f54d04096a77cd4b209a736f32022-12-22T02:09:37ZengWellcomeWellcome Open Research2398-502X2022-03-01619702Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]Andrew Jefferson0Matthew Wincott1Martin J. Booth2https://orcid.org/0000-0002-9525-8981Ian M. Dobbie3https://orcid.org/0000-0002-5531-5865Richard M. Parton4https://orcid.org/0000-0002-2152-4271Ilan Davis5Dementia Research Institute, Cardiff University, Cardiff, CF24 4HQ, UK, UKDepartment of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UKDepartment of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UKMicron Advanced Bio-imaging Unit, Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UKMicron Advanced Bio-imaging Unit, Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UKMicron Advanced Bio-imaging Unit, Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UKCommercial fluorescence microscope stands and fully automated XYZt fluorescence imaging systems are generally beyond the limited budgets available for teaching and outreach. We have addressed this problem by developing “Microscopi”, an accessible, affordable, DIY automated imaging system that is built from 3D printed and commodity off-the-shelf hardware, including electro-mechanical, computer and optical components. Our design features automated sample navigation and image capture with a simple web-based graphical user interface, accessible with a tablet or other mobile device. The light path can easily be switched between different imaging modalities. The open source Python-based control software allows the hardware to be driven as an integrated imaging system. Furthermore, the microscope is fully customisable, which also enhances its value as a learning tool. Here, we describe the basic design and demonstrate imaging performance for a range of easily sourced specimens.https://wellcomeopenresearch.org/articles/6-63/v2Microscopy Democratised technology open source Python programming. STEM lessoneng
spellingShingle Andrew Jefferson
Matthew Wincott
Martin J. Booth
Ian M. Dobbie
Richard M. Parton
Ilan Davis
Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]
Wellcome Open Research
Microscopy
Democratised technology
open source
Python programming. STEM lesson
eng
title Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]
title_full Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]
title_fullStr Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]
title_full_unstemmed Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]
title_short Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork [version 2; peer review: 2 approved]
title_sort democratising microscopi a 3d printed automated xyzt fluorescence imaging system for teaching outreach and fieldwork version 2 peer review 2 approved
topic Microscopy
Democratised technology
open source
Python programming. STEM lesson
eng
url https://wellcomeopenresearch.org/articles/6-63/v2
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