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  1. Infrared spectroscopy is the study of the interaction of infrared light with matter. The fundamental measurement obtained in infrared spectroscopy is an infrared spectrum, which is a plot of measured infrared intensity versus wavelength (or frequency) of light.

  2. 22 Μαΐ 2010 · You need to import the spectrum files in order to analyze FTIR and NIR absorbance data. This function loads data from .SPA format files into matrices with the spectra organized into columns. C/C++ implemetation:

  3. 23 Νοε 2016 · We can observe and measure this “singing” of bonds by applying IR radiation to a sample and measuring the frequencies at which the radiation is absorbed. The result is a technique known as Infrared Spectroscopy, which is a useful and quick tool for identifying the bonds present in a given molecule.

  4. 20 Ιαν 2009 · PerkinElmer IR data file import tools. Utilities to read PerkinElmer infrared spectroscopy and imaging files (.sp, .fsm, .lsc, .imp, .vis) This submission contains a set of MATLAB (R) functions that MATLAB users may use to load PerkinElmer data files into MATLAB. fsmload: Loads data from a PerkinElmer image file.

  5. 7 Απρ 2010 · Infrared images are normally grayscale images. Thus, it is very straightforward to false-color them by mapping the gray levels to colors (i.e. by applying a different colormap). %# load a grayscale image img = imread('coins.png'); %# display the image figure imshow(img,[]); %# false-color colormap('hot')

  6. Whether kinetics are monitored or images are recorded, modern FTIR spectroscopy generates thousands of spectra every day. The present challenge is to handle this mass of data. Preprocessing, quality assessment, and analyses must be automated to be of practical interest.

  7. Look at the IR spectra of hexane, 1-hexene, and 1-hexyne in Figure 12.21 to see an example of how IR spectroscopy can be used. Although all three IR spectra contain many peaks, there are characteristic absorptions of C═C C═C and C≡C C≡C functional groups that allow the three compounds to be distinguished.

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