Particle Alignment » History » Version 16
Anke Mulder, 06/03/2010 06:59 PM
| 1 | 1 | Anke Mulder | h1. Particle Alignment |
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| 3 | 3 | Anke Mulder | Regardless of the method eventually utilized for 3D reconstruction, a good starting point for single particle EM investigations is 2D alignment and classification of the dataset. This type of analysis intimately acquaints the scientist with the types of particles, distribution of views, and the relative amount of "junk" contained in the dataset. |
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| 5 | 16 | Anke Mulder | !http://emg.nysbc.org/attachments/277/Picture_81.png! |
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| 7 | 9 | Anke Mulder | h2. General Workflow: |
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| 9 | 2 | Anke Mulder | # [[Run Alignment]]: Align particles using reference-free or reference-based approaches. |
| 10 | 3 | Anke Mulder | # [[Run Feature Analysis]]: Obtain a mathematical descriptor of the variance within the dataset. |
| 11 | 1 | Anke Mulder | # [[Run Particle Clustering]]: Sort the dataset into classes according to an interimage variance metric. |
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| 14 | 13 | Anke Mulder | h2. Appion SideBar Snapshot: |
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| 16 | 14 | Anke Mulder | !http://emg.nysbc.org/attachments/196/Picture_85.png! |
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| 18 | 13 | Anke Mulder | h2. Appion Composite Output Snapshot: |
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| 20 | 14 | Anke Mulder | !http://emg.nysbc.org/attachments/197/Picture_84.png! |
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| 23 | ______ |
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| 25 | 15 | Anke Mulder | [[stacks|< Stacks]] | [[Ab_Initio_Reconstruction|Ab Initio Reconstruction >]] |
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| 27 | 4 | Anke Mulder | ______ |