Staggered tomography for spatially continuous objects in compressive holography

Abstract

Abstract The three-dimensional (3D) reconstruction of spatially continuous objects in compressive holography (CH) is difficult owing to the large axial interval. Hence, in this work we propose an algorithm for staggered tomography based on CH (ST-CH) that performs multiple staggered compressive sensing reconstructions to obtain a supersaturated reconstructed object field with a small axial interval. ST-CH is found to improve positioning accuracy by approximately one order of magnitude compared with conventional CH method. The moving postures and behaviors of Caenorhabditis elegans were observed experimentally in 3D space. Segmented positioning was applied along the skeleton of a continuous object to position different object parts; finally, observation of a kinematic fiber was achieved.