RazorTools Rapid Reference

20 AB Application Programs installed in the CertifiedApps directory

3 Ways to start RazorTools

• Select a program using the Applications menu.

• Insert a Razor6.wpg workbook page into your current workbook. Press the buttons. 
(FreeTools users insert Razor5.wpg.)

• Use the Macro Wizard to setup ESM, NSM, PSM, DEC, ASH, LUC, LME, DIF, BAS, QBA, EDG, PIC, FIT or PHS for automated processing.

Order of processing

• Ctrl+O    Do this first - open a representative data file.

• MakePk or GetPk   Do this second - create a peak shape for your data file.  Or load a file that contains a peak matching the widths of peaks in your data. 

• TellRzr   [Optional]  Use TellRzr to set up your default information.  TellRzr information will be saved and automatically loaded whenever you run a Razor Application program 

• Select a Razor Application: ESM, NSM, PSM, DEC, ASH, LUC, LME, DIF, PHS,  BAS, QBA, EDG, PIC, FIT, or CRV.

MakePk - Creates a Peakshape for your Data

The peak shape should be, or should be similar to, the narrowest data peak of interest in your data.  It should be nearly noise-free.  Create a synthetic noise-free peak, or find a suitable shape in your data.  MakePk assists in extracting peaks from data, by removing baselines and smoothing if required.

GetPk – Loads a Peakshape File for your Data

Locate a peakshape file on the disk, load it with GetPk.

To Remove Noise from a Spectrum

Use a peakshape with same width as narrowest peak in data.  Exact shape not as important.

ESM   For Normal noise. Fast and excellent.  Maximum Entropy. 

NSM   For Normal noise, when the final result must be positive.  Maximum Likelihood.  Iterative.

PSM   For Poisson or counting noise.  Maximum Likelihood.  Iterative.

To Increase Resolution

It is imperative that an accurate peak shape be used.

DEC  Maximum Entropy deconvolution for data with Normal noise.  High performance.  Iterative.  

ASH   Deconvolution for data with Poisson noise.  High performance.  Iterative.

LUC   Deconvolution for data with Poisson noise.  Very robust.  Slow, iterative.

LME  Linearized Maximum Entropy deconvolution.  It you are ever tempted to use Fourier Self-Deconvolution, use this instead!  

To Differentiate

Use a peakshape with same width as narrowest peak in data.  Exact shape not as important.

DIF  Smoothest possible derivatives of all orders.  

To Phase FID Files

PHS   Phases NMR FID files that are written in GRAMS/32 format (FID information contained in the trace Audit Log).  RESULT: Phased NMR absorption spectrum.  Dispersion spectrum not saved).

To Construct a Baseline

Use a peakshape with same width as narrowest peak in data.  Exact shape not as important.

BAS   Automatically runs PIC, then finds baseline.  Also writes peak parameter file for FIT.

QBA   Quick baseline.

EDG   Constructs a baseline that follows lower edge of data.

To Pick Peaks

Use a peakshape with same width as narrowest peak in data.  Exact shape not as important.

PIC   Finds peak positions, heights, widths.  Based on Bayesian 2^nd derivative.  RESULT: Writes peak parameter file FILENAME.CRV

To Fit Peaks

FIT   Reads *.CRV files for peak parameter input. Accepts Real Data peaks. Select Bunch mode (when appropriate) for faster processing.  Iterative.  Stops on convergence.  Maximum Likelihood.  RESULTS:  Final fitted trace (*.FIT), individual peak files (*.001,etc), residuals (*.RIS), baseline (*.BSN), report (*.TXT), parameter file (*.CRV).  Note: FIT will accept CRV files prepared by curvefit, and produces the same output files.  Use FIT is your curvefit setups are not converging.

Helpful Utilities

CRV   Edit the peak files (*.CRV files) produced by PIC and BAS.  Link peaks together using Master/Slave relationships, and force peaks to maintain constant separations, or known height or width ratios.

View    View and print the result files created by FIT.

TellRzr   Set up default parameters for all Razor processing functions.

ESC