The 100 € lab: A 3-D printable open source platform for fluorescence microscopy, optogenetics and accurate temperature control during behaviour of zebrafish, Drosophila and C. elegans

Small, genetically tractable species such as larval zebrafish, Drosophila or C. elegans have become key model organisms in modern neuroscience. In addition to their low maintenance costs and easy sharing of strains across labs, one key appeal is the possibility to monitor single or groups of animals in a behavioural arena while controlling the activity of select neurons using optogenetic or thermogenetic tools. However, the purchase of a commercial solution for these types of experiments, including an appropriate camera system as well as a controlled behavioural arena can be costly. Here, we present a low-cost and modular open-source alternative called FlyPi. Our design is based on a 3-D printed mainframe, a Raspberry Pi computer and high-definition camera system as well as Arduino-based optical and thermal control circuits. Depending on the configuration, FlyPi can be assembled for well under 100 Euros and features optional modules for LED-based fluorescence microscopy and optogenetic stimulation as well as a Peltier-based temperature stimulator for thermogenetics. The complete version with all modules costs ~200 Euros, or substantially less if the user is prepared to shop around. All functions of FlyPi can be controlled through a custom-written graphical user interface. To demonstrate FlyPis capabilities we present its use in a series of state-of-the-art neurogenetics experiments. In addition, we demonstrate FlyPis utility as a medical diagnostic tool as well as a teaching aid at Neurogenetics courses held at several African universities. Taken together, the low cost and modular nature as well as fully open design of FlyPi make it a highly versatile tool in a range of applications, including the classroom, diagnostic centres and research labs.

[1]  Edward S Boyden,et al.  Optogenetics and thermogenetics: technologies for controlling the activity of targeted cells within intact neural circuits , 2012, Current Opinion in Neurobiology.

[2]  K. Deisseroth,et al.  Millisecond-timescale, genetically targeted optical control of neural activity , 2005, Nature Neuroscience.

[3]  Tobias Breuninger,et al.  Eyecup scope—optical recordings of light stimulus-evoked fluorescence signals in the retina , 2009, Pflügers Archiv - European Journal of Physiology.

[4]  Lucia L. Prieto-Godino,et al.  Open Labware: 3-D Printing Your Own Lab Equipment , 2015, PLoS biology.

[5]  Mark C. Pierce,et al.  Portable, Battery-Operated, Low-Cost, Bright Field and Fluorescence Microscope , 2010, PloS one.

[6]  Richard W Bowman,et al.  A one-piece 3D printed flexure translation stage for open-source microscopy. , 2015, The Review of scientific instruments.

[7]  Stefan R. Pulver,et al.  Autonomous Circuitry for Substrate Exploration in Freely Moving Drosophila Larvae , 2012, Current Biology.

[8]  M. Chalfie GREEN FLUORESCENT PROTEIN , 1995, Photochemistry and photobiology.

[9]  Gregor Belušič,et al.  A fast multispectral light synthesiser based on LEDs and a diffraction grating , 2016, Scientific reports.

[10]  Stefan R. Pulver,et al.  Independent Optical Excitation of Distinct Neural Populations , 2014, Nature Methods.

[11]  Jasper Akerboom,et al.  Optimization of a GCaMP Calcium Indicator for Neural Activity Imaging , 2012, The Journal of Neuroscience.

[12]  Antje Schmidt,et al.  Use of Kaede and Kikume green-red fusions for live cell imaging of G protein-coupled receptors. , 2014, Methods in molecular biology.

[13]  Ralf Mikut,et al.  Identification of Nonvisual Photomotor Response Cells in the Vertebrate Hindbrain , 2013, The Journal of Neuroscience.

[14]  Ingmar H. Riedel-Kruse,et al.  Correction: LudusScope: Accessible Interactive Smartphone Microscopy for Life-Science Education , 2016, PloS one.

[15]  Jan Pielage,et al.  Motor control of Drosophila feeding behavior , 2017, eLife.

[16]  Joshua M. Pearce Introduction to Open-Source Hardware for Science , 2014 .

[17]  Richard Benton,et al.  A mechanosensory receptor required for food texture detection in Drosophila , 2017, Nature Communications.

[18]  Stefan R. Pulver,et al.  Imaging fictive locomotor patterns in larval Drosophila , 2015, Journal of neurophysiology.

[19]  Stefan R. Pulver,et al.  Temporal dynamics of neuronal activation by Channelrhodopsin-2 and TRPA1 determine behavioral output in Drosophila larvae. , 2009, Journal of neurophysiology.

[20]  Lief E. Fenno,et al.  The development and application of optogenetics. , 2011, Annual review of neuroscience.

[21]  Jeffrey Barkstrom,et al.  What is a Raspberry Pi? , 2019, Introduction to the Raspberry Pi.

[22]  Aristides B. Arrenberg,et al.  Optogenetic Control of Cardiac Function , 2010, Science.

[23]  James Clements,et al.  Foldscope: Origami-Based Paper Microscope , 2014, PloS one.

[24]  Scott Waddell,et al.  Light, heat, action: neural control of fruit fly behaviour , 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

[25]  Matteo Dal Peraro,et al.  Evolution of Acid-Sensing Olfactory Circuits in Drosophilids , 2017, Neuron.

[26]  J. Mathur,et al.  Photo‐convertible fluorescent proteins as tools for fresh insights on subcellular interactions in plants , 2016, Journal of microscopy.

[27]  Herwig Baier,et al.  Optical control of zebrafish behavior with halorhodopsin , 2009, Proceedings of the National Academy of Sciences.

[28]  Pietro Perona,et al.  High-throughput Ethomics in Large Groups of Drosophila , 2009, Nature Methods.

[29]  Tom Baden,et al.  Openspritzer: an open hardware pressure ejection system for reliably delivering picolitre volumes , 2016 .

[30]  Timothy W. Dunn,et al.  Neural Circuits Underlying Visually Evoked Escapes in Larval Zebrafish , 2016, Neuron.

[31]  Tom Baden,et al.  Bridging the Gap: establishing the necessary infrastructure and knowledge for teaching and research in neuroscience in Africa , 2014, Metabolic Brain Disease.

[32]  G Ulrich Nienhaus,et al.  Fluorescent proteins for live-cell imaging with super-resolution. , 2014, Chemical Society reviews.

[33]  Mark T. Harnett,et al.  An optimized fluorescent probe for visualizing glutamate neurotransmission , 2013, Nature Methods.