Entropy-regularized deconvolution of cellular cryotransmission electron tomograms

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-regularize...

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Detalles Bibliográficos
Autores principales: Croxford, Matthew, Elbaum, Michael, Arigovindan, Muthuvel, Kam, Zvi, Agard, David, Villa, Elizabeth, Sedat, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685678/
https://www.ncbi.nlm.nih.gov/pubmed/34876518
http://dx.doi.org/10.1073/pnas.2108738118
Descripción
Sumario: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).

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