Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Arvind Visvanathan"'
Publikováno v:
Journal of Chromatography A. 1086:165-170
Identifying compounds of interest for peaks in data generated by comprehensive two-dimensional gas chromatography (GC x GC) is a critical analytical task. Manually identifying compounds is tedious and time-consuming. An alternative is to use pattern
Publikováno v:
Journal of Chromatography A. 1071:263-269
This paper describes a language for expressing criteria for chemical identification with comprehensive two-dimensional gas chromatography paired with mass spectrometry (GC × GC–MS) and presents computer-based tools implementing the language. The C
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 71:107-120
Comprehensive two-dimensional gas chromatography (GCGC) presents information technology challenges in data handling, visualization, processing, analysis and reporting. With its significantly greater separation capacity, GCGC generates data sets that
Publikováno v:
Visual Information Processing
This paper develops a method for automatic colorization of two-dimensional fields presented as images, in order to visualize local changes in values. In many applications, local changes in values are as important as magnitudes of values. For example,
Publikováno v:
Journal of chromatography. A. 1105(1-2)
This paper investigates methods for comparing datasets produced by comprehensive two-dimensional gas chromatography (GC x GC). Chemical comparisons are useful for process monitoring, sample classification or identification, correlative determinations
Autor:
Arvind Visvanathan, John P. Oostdijk, Mingtian Ni, Stephen E. Reichenbach, Edward B. Ledford, Visweswara Kottapalli, Henk C. Trap
Publikováno v:
SPIE Proceedings.
Comprehensive two-dimensional gas chromatography (GCxGC) is an emerging technology for chemical separation that provides an order-of-magnitude increase in separation capacity over traditional gas chromatography. GCxGC separates chemical species with
Publikováno v:
Journal of Electronic Imaging. 16:033004
We develop a method for automatic colorization of im- ages (or two-dimensional fields) in order to visualize pixel values and their local differences. In many applications, local differences in pixel values are as important as their values. For examp