Update Tasks.md
Normalize line endings
Added a new folder to store related scripts and macros.
Added SR-EELS_characterisation.ijm:

	This ImageJ macro is used to caracterise the aberrations of an Zeiss in-column energy filter used for SR-EELS.
Changed '*.ij' to '*.ijm'.
Enhanced the rotate images dialog:

- The dialog shows information on the axes.
- An overlay is used to visualize the axes.

Signed-off-by: Michael Entrup <entrup@arcor.de>
Added more comments:

* I added some more block commends and placed all line commends behind the
commented command.
* I use the 2nd Degree Polynomial predefined by ImageJ instead of my own
function.

Signed-off-by: Michael Entrup <entrup@arcor.de>
Merge pull request #3 from EFTEMj/scripts+macros

Scripts+macros
Corrected calculation of array size and added a threshold method selection:

- The old calculation could lead to an array out of index error. I had to
use the method ceil() instead of floor.
- Li might not be the best threshold method. I added an option to change
the method used for thresholding.

Signed-off-by: Michael Entrup <entrup@arcor.de>
Removed a backup file.
Merge pull request #4 from EFTEMj/scripts+macros

Scripts+macros
Added a new function to crate images with an overlay:

I want to visualise the quality of the border detection. That is why the macro creates some images that show the SR-EELS data-set with an Overlay. The overlay shows the left border, the centre and the right border of the data-set.
Added a missing bracket.
Merge pull request #5 from EFTEMj/scripts+macros

Scripts+macros
SR-EELS_characterisation.ijm will use several threshold methods

This is a first draft that uses several threshold methods.
The goal is to find the best thereshold method automatically.

Signed-off-by: Michael Entrup <entrup@arcor.de>
Created 'function analyse_dataset':

The main analysis has been moved to this new function.
This is a preparation for the automatic optimisation.
Prepared SR-EELS_characterisation for automatic optimisation:

I rearranged to code to be prepared for the next step.
The loop at line 61 will be the origin for the optimisation.
Generate statistics about the used threshold methods:

A txt file is created, that shows the mean r² and the stdv of r² for each used threshold method.
Updated SR-EELS_characterisation.ijm:

The threshold method 'Li' performs best for this task. I decided to use only this method. That is why I removed some code I added yesterday (r² comparison).
Added links to sample files:

I added 2 links to zip files I uploaded to my webspace.
Both files contain a SR-EELS series that can be used to test SR-EELS_characterisation.ijm.