Hardware design files, code and teaching materials for a low cost and open source fluorescent image registration station.
FluoPi is composed of a blue-light transilluminator, an amber acrylic filter and a raspberry camera contained in a black acrylic mainframe. All the hardware is controlled with a Raspberry pi small computer. With this equipment you are able to:
- Take images of fluorescent samples ranges from um to cm.
- Perform timelapse assays of up to 3 fluorescent proteins simultaneously
- See electrophoresis gel stained with blue excitable chemicals (such as GelRed or SYBR Safe).
You can see the full project at OSF and a pre-print manuscript at Biorxiv and peer-reviewed article in PLoS
To assemble this device you need access to a laser cutter and a 3D printer. You also need a mouse, keyboard and a screen with HDMI (or hdmi to VGA adaptor) to connect with the Raspberry pi (you can also manage the equipment through SSH or using programs such as teamviewer)
- All the installation instructions are available on the wiki page
- Full documentation and assembly instructions can be found at Docubricks
- If you are prompted regarding an https (SSL) error, proceed.
The equipment has a manual switch and the camera can be controlled with camera module commands. The project includes some python codes (based on camera python module) to control the hardware:
- timelapse.py --> to perform timelapse experiments
- turnON.py --> to turn ON the transilluminator
- turnOFF.py --> to turn OFF the transilluminator
Jupyter notebooks are included (Examples/ and Tutorials/) to demonstrate the analysis principles and the use of the fluopi module to analyse time-lapse image data. Sample image data is included in the relevant folders. You can start from these examples, switching the file paths to your data.
Universidad Catolica de Chile
- Isaac Nuñez - Prosimio
- Tamara Matute - tfmatute
- Juan Keymner - Keymer Lab
- Tim Rudge - Rudge lab
- Fernan Federici - Federici lab
- Roberto Pellizzari - RoHPellizzari
- Tim Marzullo - Backyard Brains
This project is licensed under the MIT License - see the LICENSE.txt file for details. Hardware is lincesed under the CERN license.
Please follow updates, ask questions and check FAQs in this doc
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Toby Wenzel for guidance on Docubricks documentation
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Tom Baden and Andre Chagas for feedback and advice on camera
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Bernardo Pollak for helping out with sequences
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Douglas Densmore for the CIDAR MoClo Parts Kit
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OpenPlant Fund and Fondecyt for providing financial support

