JOURNAL ARTICLE

ISSDC: DIGRAM CODING BASED LOSSLESS DATA COMPRESSION ALGORITHM

Altan MesutAydın Carus

Year: 2010 Journal:   Computing and Informatics / Computers and Artificial Intelligence Vol: 29 (5)Pages: 741-756   Publisher: Institute of Informatics

Abstract

This paper reviews the recent progress in using single quantum systems, here mainly single fluorescent molecules, as local probes for nano-optical field distributions. We start by discussing the role of the absorption cross-section for the spatial resolution attainable in such experiments and its behaviour for different environmental conditions. It is shown that the spatial distribution of field components in a high-numerical aperture laser focus can be mapped with high precision using single fluorescent molecules embedded in a thin polymer film on glass. With this proof-of-principle experiment as a starting point, the possibility of mapping strongly confined and enhanced nano-optical fields close to material structures, e.g. sharp metal tips, is discussed. The mapping of the spatial distribution of the enhanced field at an etched gold tip using a single molecule is presented as an example. Energy transfer effects and quenching are identified as possible artefacts in this context. Finally, it is demonstrated that the local quenching at a sharp metal structure nevertheless can be exploited as a novel contrast mechanism for ultrahigh-resolution optical microscopy with single-molecule sensitivity.

Keywords:
Lossless compression Data compression Computer science Algorithm Compression ratio Compression (physics) Context-adaptive binary arithmetic coding Coding (social sciences) Binary number Data compression ratio Arithmetic coding Lossy compression Image compression Mathematics Artificial intelligence Arithmetic Image processing Image (mathematics) Statistics

Metrics

5
Cited By
0.40
FWCI (Field Weighted Citation Impact)
17
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Storage Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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