Investigation of selected baseline removal techniques as candidates for automated implementation.
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Increasing the quantitative credibility of open-path Fourier transform infrared (FT-IR) spectroscopic data, with focus on several properties of the background spectrum.In vivo molecular evaluation of guinea pig skin incisions healing after surgical suture and laser tissue welding using Raman spectroscopyIdentifying the lineages of individual cells in cocultures by multivariate analysis of Raman spectraDevelopment and integration of block operations for data invariant automation of digital preprocessing and analysis of biological and biomedical Raman spectra.Raman spectroscopy identifies radiation response in human non-small cell lung cancer xenografts.Goldindec: A Novel Algorithm for Raman Spectrum Baseline Correction.Endoscopic sensing of alveolar pH.On-line analysis of a continuous-flow ozonolysis reaction using Raman spectroscopy.A Fully Customized Baseline Removal Framework for Spectroscopic Applications.A Raman spectroscopic study of cell response to clinical doses of ionizing radiation.Selective Weighted Least Squares Method for Fourier Transform Infrared Quantitative Analysis.Comparative study using Raman microspectroscopy reveals spectral signatures of human induced pluripotent cells more closely resemble those from human embryonic stem cells than those from differentiated cells.Raman microspectroscopy of live cells under autophagy-inducing conditions.Developing an instrument-independent algorithm for Raman spectroscopy: a case of cancer detection.Raman Labeled Nanoparticles: Characterization of Variability and Improved Method for Unmixing.Variability in Raman spectra of single human tumor cells cultured in vitro: correlation with cell cycle and culture confluency.Raman spectroscopy as a novel tool for monitoring biochemical changes and inter-donor variability in stored red blood cell units.Comparative Analysis of a Principal Component Analysis-Based and an Artificial Neural Network-Based Method for Baseline Removal.Comparison of derivative preprocessing and automated polynomial baseline correction method for classification and quantification of narcotics in solid mixtures.A concise iterative method using the Bezier technique for baseline construction.Real-time In vivo Diagnosis of Nasopharyngeal Carcinoma Using Rapid Fiber-Optic Raman Spectroscopy.Automated quantitative spectroscopic analysis combining background subtraction, cosmic ray removal, and peak fitting.Deep convolutional neural networks for Raman spectrum recognition: a unified solution.A model-free, fully automated baseline-removal method for Raman spectra.Imaging of plant cell walls by confocal Raman microscopy.Spectral analysis of R-lines and vibronic sidebands in the emission spectrum of ruby using genetic algorithms.Automatic baseline recognition for the correction of large sets of spectra using continuous wavelet transform and iterative fitting.Automatic baseline correction of vibrational circular dichroism spectra.A small-window moving average-based fully automated baseline estimation method for Raman spectra.Automatic baseline subtraction of vibrational spectra using minima identification and discrimination via adaptive, least-squares thresholding.Fully automated decomposition of Raman spectra into individual Pearson's type VII distributions applied to biological and biomedical samples.Background Subtraction of Raman Spectra Based on Iterative Polynomial Smoothing.Independent component analysis-based algorithm for automatic identification of Raman spectra applied to artistic pigments and pigment mixtures.Noise and artifact characterization of in vivo Raman spectroscopy skin measurements.Automated spectral smoothing with spatially adaptive penalized least squares.Noise normalisation in capillary electrophoresis using a diode array detector.Adaptive wavelet transform suppresses background and noise for quantitative analysis by Raman spectrometry.Raman microspectroscopic analysis of triterpenoids found in plant cuticles.Fully automated high-performance signal-to-noise ratio enhancement based on an iterative three-point zero-order Savitzky-Golay filter.Determination of Figures of Merit for Near-Infrared, Raman and Powder X-ray Diffraction by Net Analyte Signal Analysis for a Compacted Amorphous Dispersion with Spiked Crystallinity
P2860
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P2860
Investigation of selected baseline removal techniques as candidates for automated implementation.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Investigation of selected base ...... for automated implementation.
@ast
Investigation of selected base ...... for automated implementation.
@en
type
label
Investigation of selected base ...... for automated implementation.
@ast
Investigation of selected base ...... for automated implementation.
@en
prefLabel
Investigation of selected base ...... for automated implementation.
@ast
Investigation of selected base ...... for automated implementation.
@en
P2093
P2860
P356
P1433
P1476
Investigation of selected base ...... s for automated implementation
@en
P2093
Georg Schulze
Marcia M L Yu
Michael W Blades
Robin F B Turner
P2860
P304
P356
10.1366/0003702053945985
P577
2005-05-01T00:00:00Z