File	Date	Author	Commit
Icons	2013-07-31	John Goertz	[1d758d] Renamed files
Supporting Functions	2013-07-29	John Goertz	[b3664f] Added folder for supporting functions and their...
Tutorial	2013-07-26	John Goertz	[d056c5] Fixed minor bugs, added tutorial folder and sam...
.gitignore	2013-07-26	John Goertz	[bfc955] Told git to ignore backup files
LAVA.m	2013-08-07	John Goertz	[b7893b] Fixed New button, other minor bugs
Old_LAVA.m	2013-07-31	John Goertz	[c0abb8] Minor bug fixes to Old_LAVA.m
README.txt	2013-07-31	John Goertz	[8ae823] Updated README

Read Me

A few notes on using LAVA.

LAVA is a tool for quantifying physical data from images. Theoretically,
it should work on any image which has been converted into a greyscale 
.txt or .csv file. However, it was designed for use with Atomic Force 
Microscope, or AFM images, so I cannot guarantee performance with other
image types.

If you are using LAVA to analyze AFM or other SPM images, it is highly 
suggested that you first post-process the data to at minimum Fix Zero 
and Plane Level the image before converting it to a text file. This can 
be done either with the acquisition software used by your AFM setup, or 
by any third-party software available. I recommend Gwyddion, an open-
source, multi-platform program that can be downloaded from gwyddion.net
and has been published in the Central European Journal of Physics (DOI 
10.2478/s11534-011-0096-2).

For those very new to Matlab, once the above is accomplished, simply 
open the LAVA.m file in the Matlab Editor and press "Run". From then on 
you shouldn't need to interface with the command line at all. There is 
also a Tutorial folder should you need further step-by-step
instructions, or just need something to try out the program with.

I hope LAVA proves usefull for your research, and feel free to
contribute to the project!