Articles with "spectral deconvolution" as a keyword



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Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm

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Published in 2019 at "Photonic Sensors"

DOI: 10.1007/s13320-019-0571-8

Abstract: Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the… read more here.

Keywords: levenberg marquardt; spectral deconvolution; method; adaptive operator ... See more keywords
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Ras-Guanine Nucleotide Complexes: A UV Spectral Deconvolution Method to Analyze Protein Concentration, Nucleotide Stoichiometry, and Purity.

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Published in 2021 at "Analytical biochemistry"

DOI: 10.1016/j.ab.2020.114066

Abstract: The many members of the Ras superfamily are small GTPases that serve as molecular switches. These proteins bind the guanine nucleotides GTP and GDP with picomolar affinities, thereby stabilizing on- and off-signaling states, respectively. Quantitative… read more here.

Keywords: protein; guanine nucleotide; deconvolution method; spectral deconvolution ... See more keywords
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Increasing confidence in proteomic spectral deconvolution through mass defect

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Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btac638

Abstract: MOTIVATION Confident deconvolution of proteomic spectra is critical for several applications such as de novo sequencing, cross-linking mass spectrometry, and handling chimeric mass spectra. RESULTS In general, all deconvolution algorithms may eventually report mass peaks… read more here.

Keywords: confidence proteomic; spectral deconvolution; proteomic spectral; deconvolution ... See more keywords
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Historical Silk: A Novel Method to Evaluate Degumming with Non-Invasive Infrared Spectroscopy and Spectral Deconvolution

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Published in 2023 at "Materials"

DOI: 10.3390/ma16051819

Abstract: To correctly manage a collection of historical silks, it is important to detect if the yarn has been originally subjected to degumming. This process is generally applied to eliminate sericin; the obtained fiber is named… read more here.

Keywords: spectral deconvolution; non invasive; spectroscopy; silk ... See more keywords
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Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA)

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Published in 2019 at "Journal of the Physical Society of Japan"

DOI: 10.7566/jpsj.88.044003

Abstract: In this paper, we propose a new method of Bayesian measurement for spectral deconvolution, which regresses spectral data into the sum of unimodal basis function such as Gaussian or Lorentzian funct... read more here.

Keywords: deconvolution based; bayesian measurement; measurement; spectral deconvolution ... See more keywords