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Process optimization

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

Science-driven automated experiments

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

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Genetic modification of microbes that are thermophiles—ones that grow at elevated temperatures—is extremely challenging. Tools developed for E. coli, a typical host for protein production, typically do not function at elevated temperatures.