<html><head></head><body><div style="color:#000; background-color:#fff; font-family:Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:16px"><div id="yui_3_16_0_ym19_1_1494989531150_52812"><span id="yui_3_16_0_ym19_1_1494989531150_52822">You could try to use an appropriate reconstruction algorithm; see</span></div><div dir="ltr" id="yui_3_16_0_ym19_1_1494989531150_52859">Sorzano, C.O.S., Marabini, R., Boisset, N., Rietzel, E., Schroeder, R., Herman, G.T., Carazo, J.M.: <br></div><div dir="ltr" id="yui_3_16_0_ym19_1_1494989531150_52871">The effect of overabundant projection
directions on 3D reconstruction algorithms, <br></div><div dir="ltr" id="yui_3_16_0_ym19_1_1494989531150_52872">Journal of Structural
Biology 133:108-118, 2001</div><div id="yui_3_16_0_ym19_1_1494989531150_52811"> </div><div class="signature" id="yui_3_16_0_ym19_1_1494989531150_52765">Gabor T. Herman, Ph.D.<br>Distinguished Professor of Computer Science<br>The Graduate Center of the City University of New York<br>Web-Page: http://gabor.ws.gc.cuny.edu/<br>.<br>========================================== <br>.<br>ANNOUNCEMENTS <br>.<br>Inverse Problems has just published a special issue on Superiorization: theory and applications, <br>http://iopscience.iop.org/journal/0266-5611/page/Special-issue-superiorization-theory-and-applications<br>.<br>SNARK14 (a programming system for the reconstruction of 2D images from 1D projections)<br>http://www.dig.cs.gc.cuny.edu/software/snark14/<br>.</div><div class="qtdSeparateBR" id="yui_3_16_0_ym19_1_1494989531150_52884"><br><br></div><div class="yahoo_quoted" id="yui_3_16_0_ym19_1_1494989531150_52917" style="display: block;"> <div style="font-family: Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif; font-size: 16px;" id="yui_3_16_0_ym19_1_1494989531150_52916"> <div style="font-family: HelveticaNeue, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif; font-size: 16px;" id="yui_3_16_0_ym19_1_1494989531150_52915"> <div dir="ltr" id="yui_3_16_0_ym19_1_1494989531150_52914"> <font id="yui_3_16_0_ym19_1_1494989531150_52971" size="2" face="Arial"> <hr size="1"> <b><span style="font-weight:bold;">From:</span></b> Yang Li <yanglixtal@gmail.com><br> <b><span style="font-weight: bold;">To:</span></b> 3dem@ncmir.ucsd.edu <br> <b><span style="font-weight: bold;">Sent:</span></b> Wednesday, May 17, 2017 8:46 AM<br> <b><span style="font-weight: bold;">Subject:</span></b> [3dem] Overcoming orientation preference issue<br> </font> </div> <div class="y_msg_container" id="yui_3_16_0_ym19_1_1494989531150_52918"><br><div id="yiv8572040973"><div dir="ltr" id="yui_3_16_0_ym19_1_1494989531150_52920">Dear colleagues,<div id="yui_3_16_0_ym19_1_1494989531150_52970"><br></div><div id="yui_3_16_0_ym19_1_1494989531150_52919">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!</div><div><br></div><div id="yui_3_16_0_ym19_1_1494989531150_52921">Best,</div><div id="yui_3_16_0_ym19_1_1494989531150_52922">Yang </div></div></div>_______________________________________________<br>3dem mailing list<br><a ymailto="mailto:3dem@ncmir.ucsd.edu" href="mailto:3dem@ncmir.ucsd.edu">3dem@ncmir.ucsd.edu</a><br><a href="https://mail.ncmir.ucsd.edu/mailman/listinfo/3dem" target="_blank">https://mail.ncmir.ucsd.edu/mailman/listinfo/3dem</a><br><br><br></div> </div> </div> </div></div></body></html>