Our system is very flexible and can be adapted easily for individual experimental needs. Our design consists of an epifluorescent microscope with automated XY stage for moving a multiwell plate containing cells and a perfusion manifold allowing programmed application of up to eight different solutions.
Here, we present an open-source hardware and low-cost framework that allows for automatic high-throughput generation of large amounts of cell biology data. For these methods to be efficient, a large number of high-quality and reproducible experiments needs to be conducted, requiring a high degree of automation. Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. Peden 3, Ashley Cadby 4 and Anton Nikolaev 3*
Pavel Katunin 1,2*, Jianbo Zhou 3, Ola M.
