Genetic algorithm for the design of microchip flow cytometers

Hyunwoo Bang, Yunsil Heo, Won Gu Lee, Hoyoung Yun, Jung Ki Min, Jun Keun Chang, Dong Chul Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The design of a microchannel can evolve through the genetic algorithm (GA), a digital Darwinism. We adopted the GA while optimizing two types of commercial microchip flow cytometers. One detects signal with spatial imaging in a single channel and the other detects fluorescence intensity of particles with a spot laser in a flow focusing channel. Using the GA, we optimized the detailed wall geometry with the former, and the design of channel network with the latter. The GA has been implemented to run in parallel on multiple computers connected via XML-RPC protocols using JAVA and SQL database technology.

Original languageEnglish
Title of host publication2007 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2007, Technical Proceedings
Pages93-99
Number of pages7
Publication statusPublished - 2007
Event2007 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2007 - Santa Clara, CA, United States
Duration: 20 May 200724 May 2007

Publication series

Name2007 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2007, Technical Proceedings
Volume3

Conference

Conference2007 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2007
Country/TerritoryUnited States
CitySanta Clara, CA
Period20/05/0724/05/07

Keywords

  • Design optimization
  • Genetic algorithm
  • Microchannel
  • Microchip flow cytometer

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