Code covered by the BSD License
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Diffmaps(S,varargin)
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InToCarbRatio=InorgMap1(S,Thr...
Calculates the % sp2 of a stack (S.spectr) region specified by linidxin
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LabelMat=ConstThresh(ImIn,Thr...
Give the binary matrix of components over a constant threshold
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LoadStackRaw(filedir)
function S=LoadStackRaw(filedir)
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ProcDir(RawDir,FinDir,varargi...
This script processes stxm data found in "RawDir" and places it in P1Dir
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S=AlignStack(stack)
FTAlignStack
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S=MultPartAvSpec(S,varargin)
This script loops over each particle and calculates an aveage spectrum.
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S=OdStack(structin,method)
function S=OdStack(structin,method)
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S=PartLabelCompSize(S,varargi...
PartLabel Assigns particle labels to particles
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S=ParticleSize(S)
RC Moffet 2010
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SingStackProc(RawDir,FinDir,N...
This script processes stxm data found in "RawDir" and places it in
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Snew=DeglitchStack(S,badEnerg...
DeglitchStack
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[Aout]=InorgMap(S,Mask)
Calculates the % sp2 of a stack (S.spectr) region specified by linidxin
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[OutSpec]=SumSpec(CellSpec,To...
Adds spectra together?
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[class,siz]=ChemSiz(Sin)
Give Labels and size for plotting chemical size distributions
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[out]=LabelCount(Sin)
This script counts particles containing component labels. Run DiffMaps
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[specout,npix]=ComponentSpec(...
uses maps to isolate regions of interest to extract a spectrum.
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map=PeakDetect(S,IaRange,IbRa...
This script was originally written to detect potassium peaks. Therefore
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1ExampleMasterRun.m
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View all files
STXM Spectromicroscopy Particle Analysis Routines
by Ryan Moffet
19 Oct 2010
Spectromicroscopic analysis of atmospheric nanoparticles (aerosols)
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| File Information |
| Description |
An automated data analysis method for atmospheric particles using scanning transmission X-ray microscopy coupled with near edge X-ray fine structure spectroscopy (STXM/NEXAFS). This method is applied to complex internally mixed submicron particles containing organic and inorganic material. Several algorithms were developed to exploit NEXAFS spectral features in the energy range from 278-320 eV for quantitative mapping of the spatial distribution of elemental carbon, organic carbon, potassium, and non-carbonaceous elements in particles of mixed composition. This energy range encompasses the carbon K-edge and potassium L2 and L3 edges. STXM/NEXAFS maps of different chemical components were complemented with a subsequent analysis using elemental maps obtained by scanning electron microscopy coupled with energy dispersive X-ray analysis (SEM/EDX). We demonstrate application of the automated mapping algorithms for data analysis and the statistical classification of particles. |
| Acknowledgements |
Efficient Subpixel Image Registration By Cross Correlation and Stxm Data Analysis Script Collection Stack Lab
inspired this file.
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| Required Products |
Image Processing Toolbox
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| MATLAB release |
MATLAB 7.7 (R2008b)
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