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docs/index.rst

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thePowerOfXmipp
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listOfPublications
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enhancingXmipp
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docs/thePowerOfXmipp.rst

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.. _thePowerOfXmipp:
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===============================
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Importance of Xmipp in Cryo-EM
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===============================
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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.
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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.
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.. contents::
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:local:
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:depth: 2
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-------------------------
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Xmipp Contributions at a Glance
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-------------------------
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- Robust CTF estimation and correction protocols
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- Automated and deep learning-based particle picking
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- Advanced 2D classification and 3D reconstruction tools
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- Postprocessing with deep learning (e.g., `emhancer`)
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- Flexible integration of masks, volumes, and structural validation
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=========================
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Example: ClpC1P1P2 Project
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=========================
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.. admonition:: Project Summary
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- **Protein**: *[To be completed]*
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- **Final Resolution**: *[To be completed]*
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- **Number of Movies**: *[To be completed]*
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- **EMDB ID**: *[To be completed]*
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- **Resolution Method**: *[To be completed]*
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- **Xmipp Version**: *[To be completed]*
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.. rubric:: Protocols Used
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- **CTF Estimation and Consensus**:
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- `CTFConsensus`
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- **Particle Picking**:
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- `ConsensusPicking`
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- **Micrograph Quality Control**:
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- `DeepMicrographScreen`
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- **3D Postprocessing**:
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- `XmippProtDeepVolPostProc`
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- `emhancer`
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- **Masking**:
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- `Create3DMask`
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=======================
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Example: HER2-TZB Project
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=======================
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.. admonition:: Project Summary
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- **Protein**: *[To be completed]*
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- **Final Resolution**: *[To be completed]*
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- **Number of Movies**: *[To be completed]*
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- **EMDB ID**: *[To be completed]*
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- **Resolution Method**: *[To be completed]*
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- **Xmipp Version**: *[To be completed]*
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.. rubric:: Protocols Used
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- **CTF Correction**:
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- `XmippProtCTFCorrectWiener2D`
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- **Volume Processing and Refinement**:
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- `XmippProtAlignVolumeParticles`
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- `XmippProtReconstructFourier`
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- `XmippProtPreprocessVolumes`
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- `XmippProtFilterVolumes`
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- `XmippProtMaskVolumes`
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- `XmippProtMonoRes`
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- `XmippProtStructureMap`
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- `XmippProtSubtractProjection`
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- **Particle Handling**:
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- `XmippProtCropResizeParticles`
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- **3D Visualization and Validation**:
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- `XmippProtCompareAngles`
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- `XmippProtCompareReprojections`
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- `XmippProtConsensusClasses`
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- `XmippProtCreateGallery`
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- `XmippProtCreateMask3D`
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- `XmippProtFSO`
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- **Postprocessing**:
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- `emhancer`
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- **Model Integration**:
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- `XmippProtConvertPdb`
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======================
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Conclusion
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======================
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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.
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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.
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