Compressed Sensing Electron Tomography for Determining Biological Structure.

ABSTRACT: There has been growing interest in applying compressed sensing (CS) theory and practice to reconstruct 3D volumes at the nanoscale from electron tomography datasets of inorganic materials, based on known sparsity in the structure of interest. Here we explore the application of CS for visualizing the 3D structure of biological specimens from tomographic tilt series acquired in the scanning transmission electron microscope (STEM). CS-ET reconstructions match or outperform commonly used alternative methods in full and undersampled tomogram recovery, but with less significant performance gains than observed for the imaging of inorganic materials. We propose that this disparity stems from the increased structural complexity of biological systems, as supported by theoretical CS sampling consider

SUBMITTER: Guay MD 

PROVIDER: S-EPMC4904377 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature