Hi,
A 1.38Å vs 1.40Å pixel size will make a tremendous difference for complexes like viruses. Imagine an image reconstruction of a virus that is 200 pixels in diameter -pixels are an EM's readout, not distances. At 1.38Å/pixel this is a diameter of 276Å, but at 1.40Å/pixel this is a diameter of 280Å. A 2Å expansion is certainly biologically important. So an incorrect pixel size of 0.02Å will give the perception that a biologically important phenomenon has occurred. Thus, despite acceptable refinement statistics one can make incorrect conclusions based on incorrect pixel size. I'm dealing with this problem when comparing my image reconstructions from different scope to crystal structures.
This problem is amplified as the virus size increases.
Best wishes,
Reza
Reza Khayat, PhD
Assistant Professor
City College of New York
Department of Chemistry
New York, NY 10031
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From: [email protected]
Does anyone know how to accurately determine the voxel size of an EM map? If you are slightly off (i.e. 1.38 compared to 1.40 pixel) does this affect real space refinement in PHENIX?
if it's not too much off then I would not expect much difference in results except map-model correlation (CC) may be worse.. This is because phenix.real_space_refine works such that no matter what fit to the map is the model geometry must stay within acceptable limits. Pavel _______________________________________________ phenixbb mailing list [email protected] https://urldefense.proofpoint.com/v2/url?u=http-3A__phenix-2Donline.org_mailman_listinfo_phenixbb&d=DwICAg&c=4NmamNZG3KTnUCoC6InoLJ6KV1tbVKrkZXHRwtIMGmo&r=1DzJFW0v6TgEhkW1gy_-ke-RbtvS1fzEbD5_hcb9Up0&m=sdGNH7yvifjhJ3j93rli_lGL9crUWlSGxb2ybKnFUA8&s=7TPIP3GItfApCLU1NzT-1COlEvamhOa7QSfdnPl_ym4&e= Unsubscribe: [email protected]