Three-dimensional reconstruction of biological specimens using electron microscopy by
single particle methodologies requires the identification and extraction of the imaged
particles from the acquired micrographs. Automatic and semiautomatic particle selection
approaches can localize these particles, minimizing the user interaction, but at the cost of
selecting a non-negligible number of incorrect particles, which can corrupt the final three-
dimensional reconstruction. In this work, we present a novel particle quality assessment and …