Cell Culture Microfluidic Biochips: Experimental Throughput Maximization

Wajid Hassan Minhass, Paul Pop, Jan Madsen, Mette Hemmingsen, Peder Skafte-Pedersen, Martin Dufva

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Microfluidic biochips offer a promising alternative to a conventional biochemical laboratory, integrating all necessary functionalities on-chip in order to perform biochemical applications. Researchers have started to propose computer-aided design tools for the synthesis of such biochips. Our focus in this paper is on the optimization of how a biochemical application is performed on a biochip. In this paper, we consider cell culture biochips, where several cell colonies are exposed to soluble compounds and monitored in real-time to determine the right combination of factors that leads to the desired results. These biochips have high research potential, e.g., cancer research, stem cell, drug discovery. The application considered is a full-factorial experimental design, where all possible combinations of compounds are applied. We are interested to automatically synthesize (currently done manually) the settings of an experimental design, consisting of decision on the placement pattern of cell colonies and the insertion schedule of compounds such that the biochip throughput is maximized, thus increasing the system productivity, saving time and reducing costs. We have proposed a Simulated Annealing metaheuristic for experimental design generation for the cell culture microfluidic biochips, and we have evaluated our approach using multiple experimental setups.
    Original languageEnglish
    Title of host publication2011 5th International Conference on Bioinformatics and Biomedical Engineering, (iCBBE)
    PublisherIEEE
    Publication date2011
    ISBN (Print)978-1-4244-5088-6
    DOIs
    Publication statusPublished - 2011
    EventInternational Conference on Bioinformatics and Biomedical Engineering - Wuhan, China
    Duration: 1 Jan 2011 → …
    Conference number: 5

    Conference

    ConferenceInternational Conference on Bioinformatics and Biomedical Engineering
    Number5
    CityWuhan, China
    Period01/01/2011 → …
    Series International Conference on Bioinformatics and Biomedical Engineering
    ISSN2151-7614

    Keywords

    • Biochips
    • Throughput optimization
    • Cell culture

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