Biomedical Engineering Reference
In-Depth Information
3
2.5
2
1.5
1
0.5
0
1
2
3
4
5
# of Dilution Iterations
Figure 6.19
Concentration error limit versus number of mixing-dispensing iterations.
defect-tolerant well loading. An efficient solution-preparation planning
algorithm has also been presented to facilitate the generation of crystallizing
solutions. Given a set of target solutions, the algorithm determines the type,
concentration, and number of dispensed droplets of the stock solutions.
The proposed chip design and associated algorithms will pave the way for
increased use of digital microfluidic biochips in high-throughput, highly
automated, and affordable protein crystallization systems.
References
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human whole blood, plasma, serum, urine, saliva, sweat, and tears on a digital
microfluidic platform,
Proceeding of Miniaturized Systems for Chemistry and Life
Sciences (μTAS)
, pp. 1287-1290, 2003.
3. Guiseppi-Elie, A., S. Brahim, G. Slaughter, and K. R. Ward, Design of a subcuta-
neous implantable biochip for monitoring of glucose and lactate,
IEEE Sensors
Journal
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Proceeding of IEEE
,
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Science
, vol. 286, pp. 942-945, 1999.
6. Fluidigm Corporation,
http://www.fluidigm.com.
.
7. Caliper Life Science,
http://www.caliperls.com
.
8. Tecan Systems Inc,
http://www.tecan.com
.
