A precise and accurate knowledge of the characteristics of three-dimensional micro-objects such as inertial confinement fusion (ICF) targets and laser-produced plasmas is required to analyze the results of laser fusion experiments. Significant advances have been made in the development of tomographic information-processing methods for application to ICF target characterization. Topics discussed include (a) new high-resolution algorithm obtained by symmetrizing a basic filtered backprojection algorithm, (b) algorithms for threshold target characterization, (c) new approach to micro-object scanning based on quasi-uniform geometry, (d) ICF target preparation for tomographic characterization.