Croxford, M and Elbaum, M and Arigovindan, M and Kam, Z and Agard, D and Villa, E and Sedat, J (2021) Entropy-regularized deconvolution of cellular cryotransmission electron tomograms. In: Proceedings of the National Academy of Sciences of the United States of America, 118 (50).
|
PDF
pro_nat_aca_sci_uni_sta_ame_118-50_2021.pdf - Published Version Download (3MB) | Preview |
|
|
PDF
pnas.2108738118.sapp.pdf - Published Supplemental Material Download (6MB) | Preview |
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). © 2021 National Academy of Sciences. All rights reserved.
Item Type: | Journal Article |
---|---|
Publication: | Proceedings of the National Academy of Sciences of the United States of America |
Publisher: | National Academy of Sciences |
Additional Information: | The copyright for this article belongs to the Author. |
Keywords: | article; controlled study; deconvolution; electron tomography; entropy; Fourier analysis; transmission electron microscopy |
Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
Date Deposited: | 06 Jan 2022 11:35 |
Last Modified: | 06 Jan 2022 11:35 |
URI: | http://eprints.iisc.ac.in/id/eprint/70808 |
Actions (login required)
![]() |
View Item |