BioTech
Technology for Life Sciences
Several years ago we turned our attention to technologies which could support the growth of the Life Sciences industry in the UK. We even supported one of our physicists to complete an EngD in Biochemical Engineering at UCL. It’s clear that the combination of understanding across the sciences will help drive the development of technologies which will support the processes required to increase repeatability in the lab. Since then we have formed strong relationships with Life Sciences research and development organisations, exciting spin outs and start ups, CMOs and CDMOs, the UK Cell & Gene Catapult as well as forging deeper relationships with the fantastic team at UCL. Our focus is to design and develop technologies for the lab, and for manufacturing, which increase reliability such as intelligent systems to improve processes and generate essential data.
Our current projects include design and development of process analytical (PAT) tools.
Industry, Science & Technology
The requirement for more Process Analytical Tools which provide valuable quantitative data for decision-making to improve efficiency and reduce waste is clear. We’d like to hear from you if you have ideas about the critical requirements and challenges in this rapidly evolving field. The aim is to provide better, faster, realtime, quantitative data for improved control and quality.
Our close working relationships with UK universities means we have an understanding of the fundamental research relevant to current challenges. We engage with consortiums to develop responses to emerging requirements and our projects have included work on sub-shot noise imaging and Raman Spectroscopy. We’ve also explored interesting areas such as assessment of phototoxicity in live mammalian cell cultures.
Good Manufacturing Practice
Introducing change in the lab or manufacturing environment is complex but necessary for any transformative technology. Good manufacturing practice, cGMP, demands a rigorous approach including process-driven change management, risk-based thinking and a firm grasp of the standards and regulatory compliance requirements. These are critical elements in the design and development of Life Sciences technology projects.
The Power of Quantitative Data
Smart technology works intuitively to support your decisions. Data must be qualified, reliable, traceable. Secure digital records provide the bedrock for further data mining for pattern recognition and analysis.
Recent research in areas such as terahertz imaging, electro-magentism, guided-mode resonance are enabling exciting break-throughs in imaging and pushing boundaries in the limits of detection, generating new sources of important data.
