We aim to accelerate our phenotyping of plant-nematode infection by prototyping new hardware for automated imaging.
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A 3D imaging platform to capture root and shoot structural data to complement an aeroponics system.
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An automated plant growth chamber to grow and monitor Arabidopsis thaliana seedlings for plant research.
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The development of a low-cost CEA chamber with built-in stress monitoring systems
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A multipurpose fungal morphology phenotyper
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In-situ 3D visualization using X-ray CT during mechanical testing of natural cellular materials- like honeycombs and bones
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A raspberry pi based cereal phenotyping device.
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A low-cost SLM driver board would drastically increase the proliferation of advanced microscopy and holographic displays.
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Learn how to build an incubator, grow your own dinoflagellates and build a multi-computer 3D imaging system.
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Let's build an affordable and open-source dynamic light scattering device for nanoparticles sizing!
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We aim to develop and characterize low-cost DIY microscopes that brewers can use to count yeast and check its viability for production.
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This simple agarose device allows live imaging of the embryo models (gastruloids) self-organised in vitro.
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A second camera for fluorescence imaging from two directions; automated illumination between acquisitions and 3D-printed sample holders.
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Camera module built using uCube framework.
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We will develop DeepSkin, a hand-held, portable and easily understood digital dermatoscope that is cheap, simple and capable of storing and transmitting dermatoscopic images.
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