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DOCS/FAQ.md

@@ -56,6 +56,6 @@ Despite both Python versions are not fully compatible, *GrainSizeTools script* h
 This issue is produced because the size of the figures returned by the script are too large to show them inside the console using the **inline** mode. To fix this go to the Spyder menu bar and in  ```Tools>Preferences>IPython console>Graphics``` find *Graphics backend* and select *Automatic*.
 
 ***Can I report bugs or submit ideas to improve the script?***  
-Definitely. If you have any problem using the script please just let me know (see an email address here: http://marcoalopez.github.io/ ). Feedback from users is always welcome and important to develop a better script. Lastly, you can also create a fork of the project and develop your own tools based on the GST script since it is open source and free. Enjoy.
+Definitely. If you have any problem using the script please just let me know (see an email address here: http://marcoalopez.github.io/ ). Feedback from users is always welcome and important to develop a better script. Lastly, you can also create a fork of the project and develop your own tools based on the GST script since it is open source and free.
 
 [table of contents](https://github.com/marcoalopez/GrainSizeTools/blob/master/DOCS/tableOfContents.md)

DOCS/Requirements.md

@@ -3,7 +3,7 @@
 Requirements
 -------------
 
-GrainSizeTools script requires [Python][1] 2.7.x (legacy) or 3.5+ versions and the scientific libraries [*Numpy*][2], [*Scipy*][3], [*Pandas*][9] and [*Matplotlib*][4]. We recommend installing the [Anaconda distribution][5] or the [Enthought Canopy][6] distributions. Both distributions have free basic versions that include all the required the scientific packages. In case you have space problems in your hard disk, there is a distribution named [miniconda][7] that only installs the packages you actually need.
+GrainSizeTools script requires [Python][1] 2.7.x (legacy) or 3.5+ versions and the scientific libraries [*Numpy*][2], [*Scipy*][3], [*Pandas*][9] and [*Matplotlib*][4]. We recommend installing the [Anaconda][5] or the [Enthought Canopy][6] distributions. Both distributions have free basic versions that include all the required the scientific packages. In case you have space problems in your hard disk, there is a distribution named [miniconda][7] that only installs the packages you actually need.
 
 The approach of the script is based on the estimation of the areas of the grain profiles obtained from thin sections. It is therefore necessary to measure them in advance and save the results in a txt/csv file. For this task, we highly encourage you to use the [*ImageJ*](http://rsbweb.nih.gov/ij/) application or one of their different flavours (see [here](http://fiji.sc/ImageJ)). These are public-domain image processing programs widely used for scientific research that runs on Windows, macOS, and Linux platforms. This documentation contains a quick tutorial on how to measure the areas of the grain profiles with ImageJ, see the *Table of Contents*. The combined use of **ImageJ** and **GrainSizeTools script** is intended to ensure that all data processing steps are done through free and open-source programs/scripts that run under any operating system.