mailFit inversion-recovery R1 data


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Posted by Sébastien Morin on June 15, 2011 - 14:36:
Hi,

Talking with some colleagues, I realized that some people record R1 data with 2D versions of inversion-recovery pulse sequences, where the signal starts from a negative value to a positive value, with a cross-point at ~ ln 2 / R1. The equation needed to fit such data is the following:
    At = A0 (1−2e^(−R1 t))

In relax (and relaxgui), it is assumed that, for both R1 and R2, the user records data with intensities decaying in an exponential manner (i.e. At = A0 e^(−R1 t) ).

Is there a reason why most people use the exponential decay approach, rather than the inversion-recovery approach ?

Should relax (and relaxgui) support the inversion-recovery approach ?

Cheers,


Séb  :)

--
Sébastien Morin, Ph.D.
Postdoctoral Fellow, S. Grzesiek NMR Laboratory
Department of Structural Biology
Biozentrum, Universität Basel
Klingelbergstrasse 70
4056 Basel
Switzerland




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