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OriginLab corp
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Image Search Results
Journal: STAR Protocols
Article Title: Nondestructive microbial discrimination using single-cell Raman spectra and random forest machine learning algorithm
doi: 10.1016/j.xpro.2022.101812
Figure Lengend Snippet: Determining the peak wavenumber of a neon emission line using curve fitting in Igor (A) Locate cursors (shown/hidden by using the shortcut key ‘Ctrl–I’) on the neon emission spectrum displayed as a Graph in order to define the region to be fitted. Then select ‘Curve Fitting’ from the ‘Analysis’ tab. (B) In the ‘Function and Data’ tab of the ‘Curve Fitting’ window, select the fitting function (Lorentzian function ‘lor’ in the present case) from the drop-down list. (C) In the ‘Data Options’ tab of the ‘Curve Fitting’ window, click ‘Cursors’ to define the start and end points of the fit. Subsequently, click ‘Do It’. (D) Fitted results shown in the Graph (left, red line) and in the command line (right). The peak wavenumber is given as ‘x0’ in the command line.
Article Snippet:
Techniques:
Journal: STAR Protocols
Article Title: Nondestructive microbial discrimination using single-cell Raman spectra and random forest machine learning algorithm
doi: 10.1016/j.xpro.2022.101812
Figure Lengend Snippet: Baseline subtraction using the Baseline Fitting package in Igor (A) Select the baseline type (a linear function ‘line’ in the present case) and the region to be fitted. Then click ‘Subtract’ for a selected spectrum and ‘All in One’ for all spectra displayed on the Graph. (B) Comparison of the original Raman spectra (left panel) and corresponding baseline-subtracted spectra (right panel).
Article Snippet:
Techniques: Comparison
Journal: STAR Protocols
Article Title: Nondestructive microbial discrimination using single-cell Raman spectra and random forest machine learning algorithm
doi: 10.1016/j.xpro.2022.101812
Figure Lengend Snippet:
Article Snippet:
Techniques: Virus, Recombinant, Software