An Open-Source Framework for Automated High-Throughput Cell Biology Experiments.

ABSTRACT: Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. 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. 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. 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. Our system is very flexible and can be adapted easily for individual experimental needs. To demonstrate the

SUBMITTER: Katunin P 

PROVIDER: S-EPMC8498207 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature