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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: J Struct Biol. 2014 Mar 5;186(1):8–18. doi: 10.1016/j.jsb.2014.02.016

Figure 6.

Figure 6

Relationship between number of particles and resolution. Each panel shows a plot for the tests with P22, CUS-3 and GCRV of the logarithm of the product between resolution and number of particles as a function of the reciprocal of the squared resolution. The points represented as circles (blue) were derived from the reconstructions obtained during the acquisition session with just those particle images available at particular times. The points represented as squares (green) were obtained by randomly selecting subsets of particle images (in multiples of 1000) from the entire data and estimating the resolution achieved by the reconstruction generated from these particles, using the latest values determined for their origins and orientations. The lines show linear fits to these points, and the apparent B factor displayed is determined by dividing by half the slope coefficient of the line as described (Rosenthal and Henderson, 2003). When acquisition begins, the quality of the first few reconstructions is not high enough to provide accurate estimates of the origin/orientation parameters of the particles extracted thus far, hence, the first three (GCRV) or four (P22 and CUS-3) points (open circles) were excluded from the linear fit analysis.