IRoot Series of Tutorials - GitHub Pages
IRootLab Tutorials2-region Pre-processing exampleJulio Trevisan30/November/2012This document is licensed under a?Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.Contents TOC \o "1-3" \h \z \u 2-region Pre-processing example PAGEREF _Toc341990258 \h 1Contents PAGEREF _Toc341990259 \h 1Introduction PAGEREF _Toc341990260 \h 1Summary of operations PAGEREF _Toc341990261 \h 1Load and visualize data PAGEREF _Toc341990262 \h 2High region (3700-2800 cm-1) PAGEREF _Toc341990263 \h 3Low region (1800-900 cm-1) PAGEREF _Toc341990264 \h 5Merge two datasets column-wise PAGEREF _Toc341990265 \h 7Visualize result PAGEREF _Toc341990266 \h 7IntroductionThis tutorial shows how to pre-process two different mid-IR regions separately, and then merge them together into a single dataset.This tutorial uses Matt’s Nanoparticles Synchrotron data, which is shipped with IRootLab. This dataset has spectra initially in the 4000-900 cm-1 region.Summary of operationsLoad dataHigh region:Cut original to 3700-2800 cm-1 regionRubberband baseline correctionMax normalizationLow region:Cut original to 1800-900 cm-1 regionRubberband baseline correctionAmide I peak normalizationMerge two datasets column-wiseLoad and visualize dataAt MATLAB command line, enter browse_demosClick on “LOAD_DATA_MATT_NANOPARTICLES_SYNCHROTRON”Click on “objtool” to launch objtool23Click on visClick on Class meansClick on Create, train & use456The following figure should appear:High region (3700-2800 cm-1)Click on fselClick on Create, train & use78Specify region [3700, 2800] (see below)Click on OKClick on ds01_fsel01Click on preClick on Rubberband-likeClick on Create, train & use11121314Click on OKClick on ds01_fsel01_rubber01Click on Normalization-allClick on Create, train & use161718Click on OKLow region (1800-900 cm-1)Click on ds01Click on fselClick on Create, train & use202122Accept the default [1800, 900] region (see below)Click on OKClick on ds01_fsel02Click on Existing blocks (we are going to re-use some blocks)Click on pre_bc_rubber01Click on Use25272826Click on ds01_fsel02_rubber01Click on pre_norm01Click on Use293031Merge two datasets column-wiseHold down the “Ctrl” key to select multiple itemsSelect ds01_fsel01_rubber01_norm01 and ds01_fsel02_rubber01_norm01Click on Apply new blocks/more actionsClick on MiscClick on Column-wiseClick on Create, train & use3335363734Visualize resultClick on irdata_cols01Click on Existing blocks (we are going to re-use the class means visualization block)Click on vis_mean01Click on Use2134The following figure should appear: ................
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