shot noise applies per pixel and is well understood to be a Poisson process, whereas damage noise applies to features the size of a speckle and the underlying distribution is hard to predict analytically. Detailed studies of the effects of damage on the performance of data assembly algorithms are still required.

Our study is restricted to spatially uncorrelated damage processes. One significant omission is the expansion of the molecule due to the large electrostatic forces created by the positively charged molecule and the redistribution of trapped electrons. Hydrodynamic simulations have predicted that atoms at the surface can move distances comparable the molecule’s size on a time-scale of tens of femtoseconds[@HauRiege2004], while the interior of the molecule moves less in the same time frame, because the trapped electrons redistribute to neutralize the central part of the molecule. The interior atoms will still produce a significant diffraction signal for resolving unknown orientations and assembling the diffraction data. If the surface atoms have moved significantly, they will contribute less to the assembled 3D diffraction data than the interior atoms. If the scattering of surface atoms do prove to reduce relative to the bulk, it is an outstanding question as to how to account 