PT  - JOURNAL ARTICLE
AU  - Matthew Wincott
AU  - Andrew Jefferson
AU  - Ian M. Dobbie
AU  - Martin J. Booth
AU  - Ilan Davis
AU  - Richard M. Parton
TI  - Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork
AID  - 10.1101/2020.05.21.108894
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.05.21.108894
4099  - http://biorxiv.org/content/early/2020/05/24/2020.05.21.108894.short
4100  - http://biorxiv.org/content/early/2020/05/24/2020.05.21.108894.full
AB  - 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.HighlightsPortable, low cost, self-build from 3D printed and commodity componentsMultimodal imaging: bright field, dark field, pseudo-phase and fluorescenceAutomated XYZt imaging from a tablet or smartphone via a simple GUIWide ranging applications in teaching, outreach and fieldworkOpen source hardware and software design, allowing user modificationCompeting Interest StatementThe authors have declared no competing interest.