RT Journal Article
SR Electronic
T1 Entropy Regularized Deconvolution of Cellular Cryo-Transmission Electron Tomograms
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.04.26.441469
DO 10.1101/2021.04.26.441469
A1 Matthew Croxford
A1 Michael Elbaum
A1 Muthuvel Arigovindan
A1 Zvi Kam
A1 David Agard
A1 Elizabeth Villa
A1 John Sedat
YR 2021
UL http://biorxiv.org/content/early/2021/04/26/2021.04.26.441469.abstract
AB 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-electron tomography data generated from transmission electron microscopy (TEM) and reconstructed using weighted back projection (WBP). We applied DC to several in situ cryo-ET data sets, and assess the results by Fourier analysis and subtomogram analysis (STA).Competing Interest StatementThe authors have declared no competing interest.