Selected category: Drug Discovery

By Simon Fogarty

The challenge of drug discovery and development is putting increasing pressure on small and medium-sized enterprises (SMEs) to boost productivity through targeted and strategic improvements in the drug discovery workflow. Automation is clearly a way to significantly improve productivity and reproducibility, but only if you make wise decisions.

SLAS2017 Presentation by Chris Millan, CTO, CellSpring

CellSpring’s 3D Bloom® biopolymer platform is based on an engineered extracellular matrix that supports the growth of cells in a 3D culture environment in the laboratory.Most cell types, including stem cells, primary cells, and solid tumor cells, can be grown in 3D culture in 96-well plates using the CellSpring technology.

SLAS2017 Presentation by Dr. Bernhard Ellinger, Fraunhofer Institute for Molecular Biology and Applied Ecology, IME, Hamburg, Germany

Fraunhofer IME has had very good success using the Tecan Fluent®  to perform fully automated screening of smaller compound batches rapidly and accurately, in parallel against multiple analytes and with multiple readouts.

SLAS2017 Presentation by Siegfried Sasshofer, Product Manager, Tecan

The ability to reduce data variability can help greatly increase your confidence in your results. Statistically significant experimental results may not actually be achieved if you review your data and find the margin of error is too high. What do scientists typically do?