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Dr.
Department of Biomedical Sciences, University of Sheffield; ITMO University, St. Petersburg, Russia and MEL Science, London UK
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Schedule
Friday, April 2, 2021
4:00 AM America/Argentina/Buenos_Aires
Recording provided by the organiser.
Domain
Open SourceHost
Open Source Neuro
Duration
70 minutes
Modern biological methods often require a large number of experiments to be conducted. For example, dissecting molecular pathways involved in a variety of biological processes in neurons and non-excitable cells requires high-throughput compound library or RNAi screens. Another example requiring large datasets - modern data analysis methods such as deep learning. These have been successfully applied to a number of biological and medical questions. In this talk we will describe an open-source platform allowing such experiments to be automated. The platform consists of an XY stage, perfusion system and an epifluorescent microscope with autofocusing. It is extremely easy to build and can be used for different experimental paradigms, ranging from immunolabeling and routine characterisation of large numbers of cell lines to high-throughput imaging of fluorescent reporters.
Anton Nikolaev and Pavel Katunin
Dr.
Department of Biomedical Sciences, University of Sheffield; ITMO University, St. Petersburg, Russia and MEL Science, London UK
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