xmipp3.protocols.protocol_resolution_deepres module

class xmipp3.protocols.protocol_resolution_deepres.XmippProtDeepRes(**args)[source]

Bases: ProtAnalysis3D, XmippProtocol

A deep-learning-based method designed to estimate local resolution in cryo-electron microscopy maps. It analyzes 3D structural features directly from the map data to assign local resolution values to beach voxel of a 3D map.. Using models trained on simulated and experimental data, DeepRes provides spatially resolved estimates that reflect variations in structural clarity across the map. The method captures subtle improvements from post-processing steps, offering a refined view of resolution distribution that supports better interpretation and validation of cryo-EM structures.

HIGH_RESOL = 1

LOW_RESOL = 0

convertInputStep()[source]: Read the input volume.

createChimeraOutput(vol, value)[source]

createHistrogram()[source]

createOutputStep()[source]

getMinMax(imageFile)[source]

resizeInputStep()[source]

resolutionStep()[source]

transformStep()[source]

xmipp3.protocols.protocol_resolution_deepres.updateEnviron(gpuNum)[source]: Create the needed environment for TensorFlow programs.