--- a/preprocessing.xml	Tue Oct 06 08:12:49 2020 +0000
+++ b/preprocessing.xml	Thu Oct 22 20:38:29 2020 +0000
@@ -836,15 +836,17 @@
 
 **Options**
 
-- Normalization: Normalization of intensities to total ion current (TIC) or to root-mean-square (RMS)
-- Baseline reduction: Baseline  reduction removes background intensity generated by chemical noise (common in MALDI datasets)
+- Normalization: normalization of intensities to total ion current (TIC) or to root-mean-square (RMS)
+- Baseline reduction: baseline  reduction removes background intensity generated by chemical noise (common in MALDI datasets)
 - Smoothing: Smoothing of the peaks reduces noise and improves peak detection
+- m/z alignment: removes small m/z shifts between spectra 
 - Peak picking: relevant peaks are picked while noise-peaks are removed (needs peak alignment afterwards)
 - Peak alignment: only possible after peak picking, m/z inaccuracies are removed by alignment of same peaks to a common m/z value; if no reference is given the peaks are aligned to the local maxima of the mean spectrum of the current dataset; external reference data can be used from another MSI data file or a tabular file with m/z values, but then only the m/z from the reference will be kept
 - Peak filtering: removes peaks that occur only in a small proportion of pixels. If not sure which cut off to choose run quality control tool first and decide according to the number of peaks per m/z plot
-- Peak binning: extracts peaks intensities (from a profile dataset) for a list of m/z (reference) values
-- Data reduction: binning or resampling to reduce data
+- Peak binning: extracts peaks intensities, either peak height or area under curve (from a profile dataset) for a list of m/z (reference) values
+- m/z binning: generates new m/z bins
 - Transformation: log2 or squareroot transformation of all intensities; when using log2 transformation zero intensities will become NA, this can lead to compatibility problems. 
+                    
 
 **Output**