XMIPP introductory demo

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Figure 21: Output KerdenSOM Classification protocol GUI. In the lower part is shown the KerdenSOMmap in which there are codevector that represent a group of individual imageswith similar characteristics. The two insets are the average images of the groupof images assigned to the two codevector highlighted32
would like to continue with these data, we suggest you repeat the last two protocols with theother symmetry architecture of G40P. That is, find the 3D reconstruction of the 3-fold structureof G40P (simC3.sel) by Random Conical Tilt and try to find remaining heterogeneities inthe 6-fold group of G40P (simC6.sel) using KerdenSOM. Remember that you have alreadyaligned both classes using the ML2D classification protocol, so you may skip that part. Note thatyou could also use the kerdenSOM to obtain a smaller (more homogeneous) class and performa RCT reconstruction for those particles.33
Page 3 and 4: 1 General introduction1.1 Welcome t
Page 5 and 6: xmipp_selfile_create "my_experiment
Page 7 and 8: 2 Your first 3D reconstruction in X
Page 9 and 10: Figure 2: Xmipp Protocols main menu
Page 11 and 12: Figure 3: Xmipp Preprocessing Micro
Page 13 and 14: pair2_untilted/down3_pair2_untilted
Page 15 and 16: Figure 7: GUI for Xmipp Manual Part
Page 17 and 18: Figure 10: GUI of xmipp_protocol_pr
Page 19 and 20: Figure 11: Analyse results window o
Page 21 and 22: Figure 12: xmipp Rotational Spectra
Page 23 and 24: Figure 14: Analyse results window o
Page 25 and 26: Figure 15: ML2D classification GUI2
Page 27 and 28: Press Show Expert Options and in Ad
Page 29 and 30: Figure 18: Output Random Conical Ti
Page 31: Figure 20: KerdenSOM Classification
Page 35 and 36: Figure 22: Flow chart of possible d

XMIPP introductory demo

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