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eyes:logics:bootstrapping [2017/06/12 17:05] nfische [Usage] |
eyes:logics:bootstrapping [2017/06/12 17:06] nfische [Usage] |
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| - For each set one can then compute a 3D structure (enable option: **UseReconstruction**). In this case the images need assigned angular orientations. In case of class sums, either i) angular reconstitution can be used to assign angular orientations (enable option: **Use Euler**) or ii) one can run the euler logic with all images as input to get a consensus model and to preassign euler angels for the images based on this consensus model. In case of single particle images, one may assign angles based on alignment by projection matching against a consensus structure. | - For each set one can then compute a 3D structure (enable option: **UseReconstruction**). In this case the images need assigned angular orientations. In case of class sums, either i) angular reconstitution can be used to assign angular orientations (enable option: **Use Euler**) or ii) one can run the euler logic with all images as input to get a consensus model and to preassign euler angels for the images based on this consensus model. In case of single particle images, one may assign angles based on alignment by projection matching against a consensus structure. | ||
| - It is mandatory to have assigned euler angles if **Use Euler** is disabled. | - It is mandatory to have assigned euler angles if **Use Euler** is disabled. | ||
| - | - The resulting 3D volumes typically have a low signal-to-noise ratio. Therefore, one will generally have to perform subsequently a Classification of the 3D structures to average similar structures in order to increase the signal-to-noise ratio. | + | - The resulting 3D volumes typically have a low signal-to-noise ratio. Therefore, one will generally have to perform subsequently a [[:eyes:logics:Classification]] of the 3D structures to average similar structures in order to increase the signal-to-noise ratio. |
| ===== Process ===== | ===== Process ===== | ||