Optimized bzip2 compression for reducing diffraction effects in protein-based computing: A study of feasibility
Year: 2009
Type: conference-paper
Abstract: One of the current research directions in biological nanotechnology is the use of bacteriorhodopsin in the fabrication of protein-based photonic devices. Bacteriorhodopsin, with its unique light-activated photocycle, nanoscale size, cyclicity (> 107), and natural resistance to harsh environmental conditions, provides for protein-based memories that have a comparative advantage over magnetic and optical data storage devices. However, the construction of protein-based memories has been severely limited by fundamental issues that exist with such devices, such as unwanted diffraction effects. In this paper, we propose an algorithm for coping with diffraction effects, thus providing a solution to a long-standing problem.
Authors: Dragos Trinca, Sanguthevar Rajasekaran
Institutions: University of Connecticut, UConn Health
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W2058105481