[3dem] Overcoming orientation preference issue

[Gabor Herman]

You could try to use an appropriate reconstruction algorithm; seeSorzano, C.O.S., Marabini, R., Boisset, N., Rietzel, E., Schroeder, R., Herman, G.T., Carazo, J.M.: 
The effect of overabundant projection directions on 3D reconstruction algorithms, 
Journal of Structural Biology 133:108-118, 2001 Gabor T. Herman, Ph.D.
Distinguished Professor of Computer Science
The Graduate Center of the City University of New York
Web-Page: http://gabor.ws.gc.cuny.edu/
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ANNOUNCEMENTS 
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Inverse Problems has just published a special issue on Superiorization: theory and applications, 
http://iopscience.iop.org/journal/0266-5611/page/Special-issue-superiorization-theory-and-applications
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SNARK14 (a programming system for the reconstruction of 2D images from 1D projections)
http://www.dig.cs.gc.cuny.edu/software/snark14/
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      From: Yang Li <yanglixtal at gmail.com>
 To: 3dem at ncmir.ucsd.edu 
 Sent: Wednesday, May 17, 2017 8:46 AM
 Subject: [3dem] Overcoming orientation preference issue
   
Dear colleagues,
We have a protein sample that suffers from severe orientation preference, that most of the particles cluster into two distinct orientations. This way we have to collect large amounts of data in order to obtain enough effective particles, which hiders us from reaching high resolution. We have tried to make thicker ice or adding tiny amount of detergent such as Tween20, but not working very well so far. I wonder if there are any tricks we can try to overcome this orientation preference issue? Thank you in advance for suggestions!
Best,Yang _______________________________________________
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