.. _thePowerOfXmipp: .. Note:: Page under construction The power of Xmipp ===================== 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. 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. Example: HER2-TZB project ------------------------------ .. admonition:: Project Summary - **Protein**: *[To be completed]* - **Final Resolution**: *[To be completed]* - **Number of Movies**: *[To be completed]* - **EMDB ID**: *[To be completed]* - **Resolution Method**: *[To be completed]* - **Xmipp Version**: *[To be completed]* .. rubric:: Protocols Used - **CTF Correction**: - `XmippProtCTFCorrectWiener2D` - **Volume Processing and Refinement**: - `XmippProtAlignVolumeParticles` - `XmippProtReconstructFourier` - `XmippProtPreprocessVolumes` - `XmippProtFilterVolumes` - `XmippProtMaskVolumes` - `XmippProtMonoRes` - `XmippProtStructureMap` - `XmippProtSubtractProjection` - **Particle Handling**: - `XmippProtCropResizeParticles` - **3D Visualization and Validation**: - `XmippProtCompareAngles` - `XmippProtCompareReprojections` - `XmippProtConsensusClasses` - `XmippProtCreateGallery` - `XmippProtCreateMask3D` - `XmippProtFSO` - **Postprocessing**: - `emhancer` - **Model Integration**: - `XmippProtConvertPdb` Conclusion ------------------------------ The 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. 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.