Entropy-regularized deconvolution of cellular cryotransmission electron tomograms
Matthew Croxford, Michael Elbaum, Muthuvel Arigovindan, Zvi Kam, David A. Agard, Elizabeth Villa, John W. Sedat
Abstract
Cryo-electron tomography (cryo-ET) allows for the high-resolution visualization of biological macromolecules. However, the technique is limited by a low signal-to-noise ratio (SNR) and variance in contrast at different frequencies, as well as reduced Z resolution. Here, we applied entropy-regularized deconvolution (ER-DC) to cryo-ET data generated from transmission electron microscopy (TEM) and reconstructed using weighted back projection (WBP). We applied deconvolution to several in situ cryo-ET datasets and assessed the results by Fourier analysis and subtomogram analysis (STA).
Topics & Concepts
DeconvolutionTomographyEntropy (arrow of time)Electron tomographyStatistical physicsComputer scienceAlgorithmPhysicsOpticsTransmission electron microscopyScanning transmission electron microscopyQuantum mechanicsAdvanced Electron Microscopy Techniques and ApplicationsDigital Holography and MicroscopyElectron and X-Ray Spectroscopy Techniques