Noise and Baseline Filtration in Mass Spectrometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F15%3A43888483" target="_blank" >RIV/60076658:12520/15:43888483 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Noise and Baseline Filtration in Mass Spectrometry
Original language description
Mass spectrometry (MS) produce terabytes of measurements daily around the world. Systemic (instrumental and chemical) and random noise complicate the dataset. Correct interpretation of mass spectrometry (MS) is aected by presented noise across all kindsof MS techniques. The noise addition may produce fake peaks or hide small intensities in the measurements. Thus, MS data are crowded and have a uneven baseline. In tandem with chromatography, the systemic noise causes extraneous peaks or rising baselineduring gradient elution. The interpretation of MS is not trivial mainly because of the vast amount of noise especially in complex samples. It is necessary to consider approaches for noise subtraction. Common algorithms based on thresholding or wavelet transformation are not resistant to the losses of information from their principle. Thresholding methods, even in the adaptive form, still discard parts under threshold level(s) from the whole measurement. The wavelet transformations direct
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-319-16479-3
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
418-425
Publisher name
Springer Dordrecht
Place of publication
Dordrecht
Event location
Granada; Spain
Event date
Apr 15, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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