1. A method for analyzing a reconstructed charged particle image of a volume from charged particle detector measurements to detect objects within the volume, the method comprising: partitioning the reconstructed charged particle image of the volume into a set of voxels wherein each voxel is associated with an intensity value; identifying a subset of the set of voxels as object-candidate voxels for generating objects by performing a segmentation operation on the reconstructed charged particle image of the volume; identifying one or more objects within the reconstructed charged particle image of the volume by performing a connected-component analysis on the object-candidate voxels; and extracting a set of object features for each identified object, wherein the set of object features include an energy metric which is the sum of the product of: (a) the difference between the intensity value of a given voxel and the intensity value of a voxel at the center of mass of a given object and (b) the distance of the given voxel from the center of mass of the given object.