FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2299032007> ?p ?o ?g. }

• W2299032007 endingPage "327" @default.
• W2299032007 startingPage "317" @default.
• W2299032007 abstract "A detailed depth characterization of multilayered polymeric systems is a very attractive topic. Currently, the use of cluster primary ion beams in time‐of‐flight secondary ion mass spectrometry allows molecular depth profiling of organic and polymeric materials. Because typical raw data may contain thousands of peaks, the amount of information to manage grows rapidly and widely, so that data reduction techniques become indispensable in order to extract the most significant information from the given dataset. Here, we show how the wavelet‐based signal processing technique can be applied to the compression of the giant raw data acquired during time‐of‐flight secondary ion mass spectrometry molecular depth‐profiling experiments. We tested the approach on data acquired by analyzing a model sample consisting of polyelectrolyte‐based multilayers spin‐cast on silicon. Numerous wavelet mother functions and several compression levels were investigated. We propose some estimators of the filtering quality in order to find the highest ‘safe’ approximation value in terms of peaks area modification, signal to noise ratio, and mass resolution retention. The compression procedure allowed to obtain a dataset straightforwardly ‘manageable’ without any peak‐picking procedure or detailed peak integration. Moreover, we show that multivariate analysis, namely, principal component analysis, can be successfully combined to the results of the wavelet‐filtering, providing a simple and reliable method for extracting the relevant information from raw datasets. Copyright © 2016 John Wiley & Sons, Ltd." @default.
• W2299032007 created "2016-06-24" @default.
• W2299032007 creator A5028242060 @default.
• W2299032007 creator A5029464178 @default.
• W2299032007 creator A5030137986 @default.
• W2299032007 creator A5049869380 @default.
• W2299032007 creator A5067227526 @default.
• W2299032007 date "2016-02-03" @default.
• W2299032007 modified "2023-10-16" @default.
• W2299032007 title "A wavelet-PCA method saves high mass resolution information in data treatment of SIMS molecular depth profiles" @default.
• W2299032007 cites W1920626924 @default.
• W2299032007 cites W1978113769 @default.
• W2299032007 cites W1978958941 @default.
• W2299032007 cites W1985762105 @default.
• W2299032007 cites W1999237497 @default.
• W2299032007 cites W2013601228 @default.
• W2299032007 cites W2024365392 @default.
• W2299032007 cites W2027250779 @default.
• W2299032007 cites W2039915814 @default.
• W2299032007 cites W2050899774 @default.
• W2299032007 cites W2060230610 @default.
• W2299032007 cites W2060486778 @default.
• W2299032007 cites W2060825810 @default.
• W2299032007 cites W2073953148 @default.
• W2299032007 cites W2086605876 @default.
• W2299032007 cites W2088171900 @default.
• W2299032007 cites W2098611644 @default.
• W2299032007 cites W2101864727 @default.
• W2299032007 cites W2103257821 @default.
• W2299032007 cites W2104930142 @default.
• W2299032007 cites W2124444067 @default.
• W2299032007 cites W2127185796 @default.
• W2299032007 cites W2132882085 @default.
• W2299032007 cites W2132984323 @default.
• W2299032007 cites W2141585693 @default.
• W2299032007 cites W2153263373 @default.
• W2299032007 cites W2160216174 @default.
• W2299032007 cites W2162506410 @default.
• W2299032007 cites W2169055580 @default.
• W2299032007 cites W2172020795 @default.
• W2299032007 cites W2315469048 @default.
• W2299032007 cites W2327619764 @default.
• W2299032007 cites W2763148304 @default.
• W2299032007 cites W2951702689 @default.
• W2299032007 cites W4240811803 @default.
• W2299032007 cites W4384386307 @default.
• W2299032007 doi "https://doi.org/10.1002/sia.5943" @default.
• W2299032007 hasPublicationYear "2016" @default.
• W2299032007 type Work @default.
• W2299032007 sameAs 2299032007 @default.
• W2299032007 citedByCount "10" @default.
• W2299032007 countsByYear W22990320072016 @default.
• W2299032007 countsByYear W22990320072017 @default.
• W2299032007 countsByYear W22990320072018 @default.
• W2299032007 countsByYear W22990320072019 @default.
• W2299032007 countsByYear W22990320072021 @default.
• W2299032007 countsByYear W22990320072022 @default.
• W2299032007 countsByYear W22990320072023 @default.
• W2299032007 crossrefType "journal-article" @default.
• W2299032007 hasAuthorship W2299032007A5028242060 @default.
• W2299032007 hasAuthorship W2299032007A5029464178 @default.
• W2299032007 hasAuthorship W2299032007A5030137986 @default.
• W2299032007 hasAuthorship W2299032007A5049869380 @default.
• W2299032007 hasAuthorship W2299032007A5067227526 @default.
• W2299032007 hasConcept C105795698 @default.
• W2299032007 hasConcept C111919701 @default.
• W2299032007 hasConcept C113196181 @default.
• W2299032007 hasConcept C11413529 @default.
• W2299032007 hasConcept C124101348 @default.
• W2299032007 hasConcept C132964779 @default.
• W2299032007 hasConcept C153180895 @default.
• W2299032007 hasConcept C154945302 @default.
• W2299032007 hasConcept C185429906 @default.
• W2299032007 hasConcept C185592680 @default.
• W2299032007 hasConcept C186060115 @default.
• W2299032007 hasConcept C187191949 @default.
• W2299032007 hasConcept C196216189 @default.
• W2299032007 hasConcept C199360897 @default.
• W2299032007 hasConcept C27438332 @default.
• W2299032007 hasConcept C33923547 @default.
• W2299032007 hasConcept C41008148 @default.
• W2299032007 hasConcept C43617362 @default.
• W2299032007 hasConcept C47432892 @default.
• W2299032007 hasConcept C86803240 @default.
• W2299032007 hasConceptScore W2299032007C105795698 @default.
• W2299032007 hasConceptScore W2299032007C111919701 @default.
• W2299032007 hasConceptScore W2299032007C113196181 @default.
• W2299032007 hasConceptScore W2299032007C11413529 @default.
• W2299032007 hasConceptScore W2299032007C124101348 @default.
• W2299032007 hasConceptScore W2299032007C132964779 @default.
• W2299032007 hasConceptScore W2299032007C153180895 @default.
• W2299032007 hasConceptScore W2299032007C154945302 @default.
• W2299032007 hasConceptScore W2299032007C185429906 @default.
• W2299032007 hasConceptScore W2299032007C185592680 @default.
• W2299032007 hasConceptScore W2299032007C186060115 @default.
• W2299032007 hasConceptScore W2299032007C187191949 @default.
• W2299032007 hasConceptScore W2299032007C196216189 @default.
• W2299032007 hasConceptScore W2299032007C199360897 @default.

• next