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Program for analyzing DEER data, hosted by Sen I., Logan T., and Fajer P. in 2007. Utilizes DEFit tool for blind spectrum analysis. Detailed hardware requirements and data interpretation instructions.
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Rocky Mountains ConferenceEPR Workshop: DEER Analysis programs testing
DEFit (for CW spectra: CwdipFit) Sen I., Logan, T. and Fajer P., Biochemistry, 2007;46:11639-49. http://fajerpc.magnet.fsu.edu/Programs/DEFit/defit.html
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 3 Gaussians C A,B • components A and B very well defined: • narrow distributions • assymetric population • component (c) badly defined component
2b Noisy data => large error surface average 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 distributions • assymetric population • component (c) badly defined component
last0002 Spikes are not always spikes! two components one very narrow
last0003 two components one very narrow
DATA1 low modulation depth, very long distance and very broad
DATA2 three components, chi2 impovement 6x from 2 components. one extremely sharp