Small molecule high throughput screen using AstraZeneca facilities
Support for academic researchers to conduct high-throughput screening using AstraZeneca’s compound library and screening infrastructure. The January 2027 round is open to all targets and provides awards up to GBP270,000. Projects must be directed by an eligible research lead actively engaged in the work. Commercial-led applications and collaborations involving additional commercial parties are excluded. Apply through UKRI’s Funding Service by 28 January 2027 at 16:00 UK time.
An open-source experimental framework for automation of cell biology experiments
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.