Explore methods for more efficient molecular cloning and strain engineering applications

Presented By:
Dwayne E. Carter

Speaker Biography:
Dr. Carter an industry trained cell biologist with over 10 years of hands-on experience at the bench in cell biology, molecular biology, and toxicology applications. I have extensive post-doctoral training in 3D tissue engineering using 3D bioprinting, and organ on a chip technology at Organovo located in San Diego, CA, and Emulate Biosciences located in Boston, MA, respectively. As a Principal Scientist/Field Application Scientist at Emulate Biosciences, I expanded organ-chip development and application, and managed technical organ-chip user training and scientific support for their Midwest, and southern accounts. Currently, I manage customer support and instrument training for Molecular Devices Clone Screening solutions.

Webinar:
Explore methods for more efficient molecular cloning and strain engineering applications

Webinar Abstract:
Fossil fuels such as coal, petroleum, and natural gas are currently the gold standard of meeting our energy needs. High levels of fossil fuel consumption have led to depleted resources, increased cost, and high levels pollution. A Fossil-fuel based energy economy has been deemed unsustainable and, therefore, the adoption of sustainable and environmentally compatible energy sources is imperative. Molecular cloning has been used to engineer strains of microbes that can perform a range of processes needed to create sustainable biofuels such as ethanol as well as useful bioproducts. Due to the high throughput nature of microbial strain engineering, molecular cloning workflows are prone to human error, labor-intensive, and time consuming. These challenges create large bottlenecks resulting in low productivity. Strain engineering can benefit greatly from the increased productivity of an automated colony picker such as Molecular Devices QPix® 400 Series Microbial Colony Picker, which automatically picks up to 3000 colonies per hour or 30,000 colonies per day with automatic pick run data tracking and database management. For higher throughput and more walkaway time, there are custom design options for an automated work-cell that integrates user desired instrumentation, and robotic control with the QPix colony picker to improve productivity and eliminate bottlenecks.

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