Rocky Mountains Conference EPR Workshop: DEER Analysis programs testing

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DESCRIPTION

All spectra were provided by the anonymous symposium participants and analyzed blindly using DEFit (till today we don’t know what the spectra are) The spectrum naming (slide titles) follow the key provided by the panel moderator, Dr. Eric Hustedt. Hardware: Intel Duo Core2, Matlab 2007b

Citation preview

Rocky Mountains Conference

EPR Workshop: DEER Analysis

programs testing

Sen I., Logan, T. and Fajer P., Biochemistry, 2007;46:11639-49.

http://fajerpc.magnet.fsu.edu/Programs/DEFit/defit.html

DEFit (for CW spectra:

CwdipFit)

• All spectra were provided by the anonymous symposium participants and analyzed blindly using DEFit (till today we don’t know what the spectra are)

• The spectrum naming (slide titles) follow the key provided by the panel moderator, Dr. Eric Hustedt.

• Hardware: Intel Duo Core2, Matlab 2007b

2a

•components A and B very well defined:narrow distributionsassymetric population

•component (c) badly defined component

C

A,B

3 Gaussians

2b

Noisy data => large error surfaceaverage distance better defined than the distribution

data0001

Excellent definition of three populations … complex assymetric population

data0002

one population, very well defined

data0003

•components A and B very well defined:narrow distributionsassymetric population

•component (c) badly defined component

last0001

last0002

Spikes are not always spikes! two components one very narrow

last0003

two components one very narrow

last0004

DATA1

low modulation depth, very long distance and very broad

DATA2

three components, chi2 impovement 6x from 2 components.one extremely sharp

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