Molecular computing for edge-enhanced laser imaging.

H Szu; A Tate; D Cullin; M Walch; D Demske; J Garcia; S Phuvan; N Caviris

doi:10.1016/0303-2647(92)90053-2

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PubMed · 1493203

Molecular computing for edge-enhanced laser imaging.

H Szu·A Tate·D Cullin·M Walch·D Demske·J Garcia·S Phuvan·N Caviris

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Abstract

In order to illustrate the self-assembly capability, we consider a laser imaging experiment on a wet film that is made of bacteriorhodopsin (BR) molecules suspended in a diffusion-limited viscous medium. BR wet film is similar to a wet photograph film but having a finer resolution and adaptive pixel locations due to laser-induced thermal diffusion. The synergism between thermal diffusion of BR molecules (induced externally by a write-laser) and molecular photochromism (generated internally by a read-laser) is exploited naturally for edge-enhanced image applications.

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Bacteriorhodopsins Halobacterium salinarum Image Processing, Computer-Assisted Lasers Neural Networks, Computer Pattern Recognition, Automated Journal Article

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H Szu, A Tate, D Cullin, M Walch, D Demske, J Garcia, S Phuvan, N Caviris. 1992. Molecular computing for edge-enhanced laser imaging.. https://doi.org/10.1016/0303-2647(92)90053-2

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