JSM 2004 - Toronto

Abstract #300270

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Activity Number: 205
Type: Invited
Date/Time: Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #300270
Title: Highly Automated DOE for Complex Biological Experiments
Author(s): Perry D. Haaland and Matthew Mitchell*+ and Dylan Wilson and Bryce Chaney and Charles Schmitt and Mohammad Heidaran
Companies: Becton Dickinson Technologies and BD Technologies and BD Technologies and BD Technologies and BD Technologies and BD Technologies
Address: P.O. Box 12016, Research Triangle Park, NC, 27709,
Keywords: DOE ; automated analysis ; cell differentiation ; data-mining ; biology
Abstract:

We have created an automated, high-throughput system for conducting complex biological experiments. This system is currently in use to develop environments for cells that lead to controlled differentiation and/or proliferation. Experiments are typically carried out in multiwell plates and often include as many as 30 experimental factors. Because of the complexity of the designs, they are impossible to pipette directly by a human being. Consequently, we provided many tools that automate the creation of experiments. All information about the design is stored in a database, which facilitates automated statistical analysis and data-mining across multiple experiments. This system has allowed us to attack significant biological problems for which complexity has limited the success of previous efforts.

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Revised March 2004