Xmipp release notes
We are very pleased to announce the release of a new version of Xmipp. It’s been over a year since the previous and first version and we have been working on new EM methods and improving Scipion as well.
Xmipp team have been working on new methods.
Adds noise to particles or volumes of different types: Uniform, Student or Gaussian.
Applies transformation matrix of an aligned volume on a set of particles to modify their angular assignment.
Creates a gallery of projections from a volume. This gallery of projections may help to understand the images observed in the microscope.
local monoRes: local resolution estimation
Estimates the local resolutions to each voxel of a given map or half maps.
Estimates the gain image of a DDD camera, directly analyzing one of the movies.
Performs soft alignment validation of a set of particles confronting them against a given 3DEM map, estimating the alignment precision and accuracy for each particle. This approach is able to quantify the alignment precision and accuracy of the 3D alignment process, which is then being used to help the reconstruction process in a number of ways, such as: (1) Providing quality indicators of the macromolecular map for soft validation, (2) Assessing the degree of homogeneity of the sample and, (3), Selecting subsets of representative images (pruning).
Construct image groups based on the angular assignment. All images assigned within a solid angle are assigned to a class. Classes are not exclusive and an image may be assigned to multiple classes.
A quantitative analysis of dissimilarities (distances) among the EM maps that placing the entire set of density maps into a common space of comparison.The approach is based on statistical analysis of distance among elastically aligned EM maps, and results in visualizing those maps as points in a lower dimensional distance space.
Checks how the resolution changes with the number of projections used for 3D reconstruction. This method has been proposed by B. Heymann "Validation of 3D EM Reconstructions", 2015.