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| 1 | +.. _thePowerOfXmipp: |
| 2 | + |
| 3 | +=============================== |
| 4 | +Importance of Xmipp in Cryo-EM |
| 5 | +=============================== |
| 6 | + |
| 7 | +Xmipp is a key software suite in the image processing workflow for cryo-electron microscopy (cryo-EM) single-particle analysis. Its modular protocols and deep integration with Scipion enable users to handle the complexity of cryo-EM data and achieve high-resolution 3D reconstructions. |
| 8 | + |
| 9 | +This page highlights the relevance of Xmipp through two concrete examples: **ClpC1P1P2** and **HER2-TZB**. In both cases, Xmipp protocols played a critical role in various stages of data processing, from preprocessing and particle selection to final 3D refinement and validation. |
| 10 | + |
| 11 | +.. contents:: |
| 12 | + :local: |
| 13 | + :depth: 2 |
| 14 | + |
| 15 | +------------------------- |
| 16 | +Xmipp Contributions at a Glance |
| 17 | +------------------------- |
| 18 | + |
| 19 | +- Robust CTF estimation and correction protocols |
| 20 | +- Automated and deep learning-based particle picking |
| 21 | +- Advanced 2D classification and 3D reconstruction tools |
| 22 | +- Postprocessing with deep learning (e.g., `emhancer`) |
| 23 | +- Flexible integration of masks, volumes, and structural validation |
| 24 | + |
| 25 | +========================= |
| 26 | +Example: ClpC1P1P2 Project |
| 27 | +========================= |
| 28 | + |
| 29 | +.. admonition:: Project Summary |
| 30 | + |
| 31 | + - **Protein**: *[To be completed]* |
| 32 | + - **Final Resolution**: *[To be completed]* |
| 33 | + - **Number of Movies**: *[To be completed]* |
| 34 | + - **EMDB ID**: *[To be completed]* |
| 35 | + - **Resolution Method**: *[To be completed]* |
| 36 | + - **Xmipp Version**: *[To be completed]* |
| 37 | + |
| 38 | +.. rubric:: Protocols Used |
| 39 | + |
| 40 | +- **CTF Estimation and Consensus**: |
| 41 | + - `CTFConsensus` |
| 42 | +- **Particle Picking**: |
| 43 | + - `ConsensusPicking` |
| 44 | +- **Micrograph Quality Control**: |
| 45 | + - `DeepMicrographScreen` |
| 46 | +- **3D Postprocessing**: |
| 47 | + - `XmippProtDeepVolPostProc` |
| 48 | + - `emhancer` |
| 49 | +- **Masking**: |
| 50 | + - `Create3DMask` |
| 51 | + |
| 52 | +======================= |
| 53 | +Example: HER2-TZB Project |
| 54 | +======================= |
| 55 | + |
| 56 | +.. admonition:: Project Summary |
| 57 | + |
| 58 | + - **Protein**: *[To be completed]* |
| 59 | + - **Final Resolution**: *[To be completed]* |
| 60 | + - **Number of Movies**: *[To be completed]* |
| 61 | + - **EMDB ID**: *[To be completed]* |
| 62 | + - **Resolution Method**: *[To be completed]* |
| 63 | + - **Xmipp Version**: *[To be completed]* |
| 64 | + |
| 65 | +.. rubric:: Protocols Used |
| 66 | + |
| 67 | +- **CTF Correction**: |
| 68 | + - `XmippProtCTFCorrectWiener2D` |
| 69 | +- **Volume Processing and Refinement**: |
| 70 | + - `XmippProtAlignVolumeParticles` |
| 71 | + - `XmippProtReconstructFourier` |
| 72 | + - `XmippProtPreprocessVolumes` |
| 73 | + - `XmippProtFilterVolumes` |
| 74 | + - `XmippProtMaskVolumes` |
| 75 | + - `XmippProtMonoRes` |
| 76 | + - `XmippProtStructureMap` |
| 77 | + - `XmippProtSubtractProjection` |
| 78 | +- **Particle Handling**: |
| 79 | + - `XmippProtCropResizeParticles` |
| 80 | +- **3D Visualization and Validation**: |
| 81 | + - `XmippProtCompareAngles` |
| 82 | + - `XmippProtCompareReprojections` |
| 83 | + - `XmippProtConsensusClasses` |
| 84 | + - `XmippProtCreateGallery` |
| 85 | + - `XmippProtCreateMask3D` |
| 86 | + - `XmippProtFSO` |
| 87 | +- **Postprocessing**: |
| 88 | + - `emhancer` |
| 89 | +- **Model Integration**: |
| 90 | + - `XmippProtConvertPdb` |
| 91 | + |
| 92 | +====================== |
| 93 | +Conclusion |
| 94 | +====================== |
| 95 | + |
| 96 | +The two projects above exemplify how Xmipp provides a comprehensive toolbox that supports end-to-end cryo-EM workflows. From CTF correction to final volume polishing and validation, Xmipp’s protocols are critical in producing reliable, reproducible, and high-quality structural data. |
| 97 | + |
| 98 | +Future developments in Xmipp continue to incorporate state-of-the-art techniques such as deep learning, automation, and hybrid modeling to push the boundaries of cryo-EM analysis. |
| 99 | + |
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