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 language | English |
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Title of host publication | 2011 5th International Conference on Bioinformatics and Biomedical Engineering, (iCBBE) |
Publisher | IEEE |
Publication date | 2011 |
ISBN (Print) | 978-1-4244-5088-6 |
DOIs | |
Publication status | Published - 2011 |
Event | 5th International Conference on Bioinformatics and Biomedical Engineering - Wuhan, China Duration: 10 May 2011 → 12 May 2011 Conference number: 5 http://www.icbbe.org/2011/ |
Conference
Conference | 5th International Conference on Bioinformatics and Biomedical Engineering |
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Number | 5 |
Country/Territory | China |
City | Wuhan |
Period | 10/05/2011 → 12/05/2011 |
Internet address |
Series | International Conference on Bioinformatics and Biomedical Engineering |
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ISSN | 2151-7614 |
Keywords
- Biochips
- Throughput optimization
- Cell culture