# PALMA for DOSY Analysis

21-Aug-2020 WARNING - this server is running fine, but is experiencing difficulties to deliver the results by mail to its users,
we're working on it, but it should take several days to be solved.

In the mean time, if you launch a computation, please notice me by mail at delsuc@igbmc.fr and I'll directly send you the results

### Welcome

This Web service allows to analyse your DOSY experiment in simple, efficient and easy way.

This site is associated to the work:

#### Improved algorithm for DOSY signal processing.

Afef Cherni, Emilie Chouzenoux, and Marc-André Delsuc
Analyst (2017),142, 772-779 DOI: 10.1039/C6AN01902A

It introduces the MaxEnt / $\ell_1$ hybrid regularization used in this approach, as well as the PALMA algorithm to solve the associated inverse problem.

Visit the Methods page for details.

This web site allows to use the PALMA algorithm to process you DOSY experiments.

### To process a data-set

Use the "Data Analysis" page to send your job, you just have to indicate your e-mail address and the type of molecules you're studying.

By using this service, you agree to acknowledge this program when presenting results using this program. In particular, you should always cite the reference above.

This server is provided as an aid for the analysis of DOSY. As it is, it might help you, and it is our goal to provide you with the best possible results. However, it is not meant to provide an "official" answer, and many possible errors are possible. Please, use it at your own risks! In particular we do not take any special care to protect you data for being viewed or copied by unwanted people. Please do not submit here critical data.

The code used here as well as the results of the processing is distributed under the licence: CC-BY-NC-SA.
This implies that any results obtained while using this server cannot be sold nor used for a commercial usage.

The results are kept for a certain amount of time (currently a month). there are deleted and no copy is left on our server.

### Acknowledgements

This sever is made possible thanks to the help of many people and organisations.

We thanks:

• CNRS MASTODONS project under grant 2016TABASCO for financial support
• Agence Nationale pour la Recherche, grant ANR2014 ONE SHOT 2D FT ICR
• The IGBMC, the Université de Strasbourg and the Labex for financial support
• Julien Seiler and Serge Uge for helping to set-up everything inside the IGBMC infrastructure;
• Lionel Allouche for debugging the very early version of this program;
• Samuel Nicaise for writing the inital version of the framework;