 |
 |
Hi Thomas, This information is not used as a prior. However, you can specify --sigma_psi to define the width of a Gaussian prior on rlnAglePsi, and then provide the centre of that prior for each particle by using a rlnAnglePsiPrior column in the input STAR file (which could be set to the angles from a 2D classification, provided each 2D class would be aligned w.r.t to the 3D map). But this sounds complicated and probably unnecessary: if 2D classification can find the solution, 3D should also. HTH, Sjors Thomas Bausewein wrote: > Dear Relion community, > > when doing particle alignment in 3D in Relion, does the expectation step take into account previous information from 2D classification? > E.g. if 10,000 particles went into a single class in 2D, the likelihood for these 10,000 particles to be in a more or less similar orientation in 3D should be high, right? > At least the psi angle for each of these particles should be the same / change the same way. > > Thank you for helping me understand better. > If the answer to this question is yes, then it would always be useful to do a 2D classification before starting a 3D classification, I guess. > > Best, > Thomas > > ######################################################################## > > To unsubscribe from the CCPEM list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCPEM&A=1 -- Sjors Scheres MRC Laboratory of Molecular Biology Francis Crick Avenue, Cambridge Biomedical Campus Cambridge CB2 0QH, U.K. tel: +44 (0)1223 267061 http://www2.mrc-lmb.cam.ac.uk/groups/scheres ######################################################################## To unsubscribe from the CCPEM list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCPEM&A=1