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eyes:logics:bootstrapping [2017/06/12 17:02] nfische [Usage] |
eyes:logics:bootstrapping [2017/06/12 18:42] (current) jschlie1 |
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| ===== Usage ===== | ===== Usage ===== | ||
| - | The resampling logic is used to randomly draw images, usually class sums or aligned single particle images. | + | Data sets of particle images often contain different structural states of the same complex. Bootstrapping allows to detect such structural differences by first creating random subgroups of images and then computing structures for each of these subgroups. |
| - | - The randomly drawn images are grouped in sets. Both the number of sets and the number of images per set can be specified by the user. Depending on the data one will have to find an optimum for the number of particles used for each subgroup: Smaller numbers will facilitate identification of lowly-populated structural states, but also result in very low signal-to-noise ratios of the 3D structures. | + | - The randomly drawn images are grouped in sets. Both the number of sets and the number of images per set can be specified by the user. Depending on the data one will have to find an optimum for the number of particles used for each subgroup: Smaller numbers will facilitate identification of lowly-populated structural states, but also result in very low signal-to-noise ratios of the 3D structures. |
| - | - 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: **Using 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 **Using 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 ===== | ||