Automating high-throughput fluid sample handling for biotechnology and chemistry

Deirdre Meldrum, S. E. Moody

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Over the past 3 years, the Genomation Laboratory at the University of Washington has been developing ACAPELLA, an automated submicroliter fluid sample handling system. This general-purpose, chemistry analysis system has applications to DNA sequencing, diagnostics, forensics, protein crystallography, and so on. In the first phase of prototype development, the ACAPELLA-1K system was designed to process 1,000 samples in 8 hours. After extensive tests and subsystem modifications, this system has successfully demonstrated high-throughput preparation of restriction enzyme digests, polymerase chain reactions (PCRs), and sequencing reactions for genome analysis. The lessons learned in this prototype development and testing phase have been used to design the next generation ACAPELLA-5K system that processes 5,000 samples in 8 hours and has more functionality. The prototype design, development, and evolution into the ACAPELLA-5K system will be described and the ACAPELLA-5K system will be presented. Various aspects that had to be considered were the architecture (e.g. parallel vs. serial; radial vs. linear), mechanical design, electronics, sensors, novel actuators, thermal processing, detection, sample tracking, error handling, user-interface, and bio-compatibility.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
Pages198-205
Number of pages8
Volume1
StatePublished - 2000
Externally publishedYes
EventICRA 2000: IEEE International Conference on Robotics and Automation - San Francisco, CA, USA
Duration: Apr 24 2000Apr 28 2000

Other

OtherICRA 2000: IEEE International Conference on Robotics and Automation
CitySan Francisco, CA, USA
Period4/24/004/28/00

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering

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