Biological research in industry and academia is increasingly dependent upon tools 
that can provide precise, high-throughput capabilities for a variety of screening inputs and outputs. In drug discovery, it takes more than 10 years and $2 billion to successfully bring a drug to market, in large part due to poor infrastructure for timely and scalable evaluation of absorption, distribution, metabolism, excretion, and toxicology for drug candidates. Similarly, exploration of the circuitry that controls stem cell decision- making requires a workflow capable of scaling with the complexity of the underlying biology. These and other problems motivate the need to develop robust, high-throughput platforms that can tackle the problems of diversity and quantity inherent in modern biological inquiry.

To address these issues, we have developed a pipeline that integrates high-throughput non-contact printing to generate cellular microarrays, screen them over days or even weeks in culture, and quantify responses with high-content imaging. This generic methodology has already proven useful for investigating questions involving drug metabolism and viral transfection, and is currently being extended to basic biological investigations of stem cell differentiation and modeling.