Data analysis software for Raman spectral datasets
Raman Spectroscopy Investigation of Camphor Soot: Spectral Analysis and Structural Information
... Figure 1. EDS data of Camphor The SEM micrograph of nanomaterials formed from camphor is presented in Figure 2. The surface morphology of the carbon deposit is found to be non uniform. The SEM images revealed that ...
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Raman spectral analysis of mixtures with one-dimensional convolutional neural network
... and Raman spectroscopy has shown great promise in rapid identification of unknown substances with good ...in spectral recognition and quantification of chemical components in a multicomponent ...A ...
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Spectral knowledge (SK-UTALCA) : software for exploratory analysis of high-resolution spectral reflectance data on plant breeding
... Several critical issues for making good reflectance measurements in the field have been reported in the literature (e.g., Curtiss and Goetz, 1994; Milton et al., 1995; Salisbury, 1998; Schaepman, 1998; Curtiss and Goetz, ...
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FTIR AND LASER RAMAN SPECTRAL ANALYSIS OF CRYSTALLINE DL–VALINIUM DIHYDROGEN PHOSPHATE
... Infrared spectral measurements were carried out with a Bruker IFS FT-IR spectrometer over the range of 400–4000 cm –1 employing KBr pellet ...for Raman spectral measurements [Jayaraj and ...
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Hyperspectral image analysis for CARS, SRS, and Raman data
... hyperspectral data D into non-negative concentrations C and spectra S, ...the data lead to a lower bound of the error for each spatial ...large spectral error, beyond the general systematic and ...
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Raman mapping of oral buccal mucosa: a spectral histopathology approach
... Fiberoptic Raman spectroscopic studies have successfully demonstrated that normal and pathological conditions along with various confounding factors associated with oral cancers can be ...8–11 Raman ...
In vivo Raman spectral pathology of human atherosclerosis and vulnerable plaque
... man spectral diagnosis, important steps remain before this technology will be clinically ...in Raman probe technology are ...The analysis employed in devel- oping an algorithm for diagnosing ...
The impact of the spectral dimension of hyperspectral datasets on plant disease detection
... reference data is divided into training and validation parts, the performance of the regression analyses shows low but significant correlation values (table ...test data of 0.62 could be achieved using just ...
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Spectral-Feature-Based Analysis of Reflectance and Emission Spectral Libraries and Imaging Spectrometer Data
... lights spectral library was analyzed over the VNIR spectral range of ...the spectral feature extraction approach to determine key emission ...the data were inverted first by subtracting the ...
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Investigation of the Use of Spectral Clustering for the Analysis of Molecular Data
... Each bit represents a di ff erent structural fragment selected for its ability to discriminate between molecules; the presence/ absence of a fragment within a molecule is denoted by 1/0, respectively. 39 The default ...
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Data Access and Analysis of Massive Datasets for High-Energy and Nuclear Physics
... simulation data generated by climate models 20,21,22 ...the datasets into clusters can result in one or even two orders of magnitude of improved access time for the pre-specified query ...the data ...
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Original Article Identification of colorectal cell exosomes by Raman spectral analysis
... by Raman spectra ...(FCM) analysis was used to determine their size and compo- ...Tracking Analysis (NTA) was adopted to identify surface specific marker ...label-free Raman spectroscopy ...
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Spectral broadening in continuous-wave intracavity Raman lasers
... It can be seen from Fig. 8 that the effective gain decreases as the fundamental spectrum broadens with increasing pump power when there are no etalons in the cavity. A similar trend is observed when the 400 μm etalon ...
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Resonance Raman Spectral Calculations of Organic Semiconductor Molecules
... This research can be improved in a number of ways. During the course of this project, the 2010 version of ADF was released (Sep. 2010) with substantial improvement in spectroscopic properties. One of the interesting ...
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Distributed approximate spectral clustering for large-scale datasets
... large datasets is an actively researched area [68] [12] ...large datasets. BIRCH incrementally groups the data as tightly as possible based on similarity in their ...original data as the ...
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Data Analysis Software
... If the sample files provided on your system have been used to perform the procedures in this guide, the analysis and report format sections may have been modified. If they do not contain the default values, your ...
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Data Analysis Software
... Test Data Once you have received test data or opened an existing test data file, that file is the current data ...a data file, you can view test data and test ...
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Data Analysis Software
... the data analysis software? In common with most windows applications there really isn’t a minimum limit of machine that the program will run on, but clearly the more powerful the computer the faster ...
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Application of spectral methods in economic data analysis
... This approach may arise because a priori information is most easily expressed in frequency terms or it may be that greater insight results from using spectral me[r] ...
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Spectral analysis of heart rate variability: Acquisitionalysis software development
... menu item (Exit ...) will return program control to the previous menu (File Editor/DOS Utilities). Display File Comments[r] ...
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