Toward photonic DNA computing: developing optical techniques for parallel manipulation of DNA

Details Toward photonic DNA computing: developing optical techniques for parallel manipulation of DNA Toward photonic DNA computing: developing optical techniques for parallel manipulation of DNA

Sep 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5897...34o&link_type=abstract

Photonics for Space Environments X. Edited by Taylor, Edward W. Proceedings of the SPIE, Volume 5897, pp. 34-43 (2005).

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We have proposed the concept of photonic DNA computing, which utilizes light and DNA, as a new evolution of parallel computing technology. The scheme has potential for achieving ingenious information processing by use of the properties of light including spatial parallelism and visibility, and the nature of DNA such as reaction parallelism and capability for autonomous reactions. We are developing optical techniques to realize this idea. An important example is the parallel optical manipulation technique that uses vertical-cavity surface-emitting laser (VCSEL) array sources. One can generate various optical field distributions by directly modulating the optical outputs of individual VCSELs, and it is possible to achieve manipulation of microscopic objects without physical contact based on compact hardware and a simple control method. We demonstrated parallel translation and fabrication of a stacked structure of microscopic particles, on the surfaces of which a lot of DNA molecules are bound. A method for reactions of DNA using an optical technique has also being developed. The method is based on control of the temperature of a local small volume of a DNA solution, which is put on a substrate coated with light-absorbing material, by irradiating with laser beams. We irradiated the substrate or a bead, on which DNA molecules were attached by hybridization, and succeeded in detaching DNA from the substrate or the bead. These techniques are expected to contribute miniaturization and weight-reduction of information systems for computing, genome analyses, and other applications.

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