https://home.cryonav.org/index.php?action=history&feed=atom&title=ReferencesReferences - Revision history2026-06-24T20:17:02ZRevision history for this page on the wikiMediaWiki 1.43.1https://home.cryonav.org/index.php?title=References&diff=47&oldid=prevAdmin: Bot edit via cryonavedit.py2026-05-20T20:19:56Z<p>Bot edit via cryonavedit.py</p>
<p><b>New page</b></p><div>Bibliography of works referenced in the CryoNAV documentation.<br />
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== Cryo-electron tomography ==<br />
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* Baumeister, W. (2002). Electron tomography: towards visualizing the molecular organization of the cytoplasm. ''Current Opinion in Structural Biology'', 12(5), 679-684.<br />
* Lucic, V., Forster, F., & Baumeister, W. (2005). Structural studies by electron tomography: from cells to molecules. ''Annual Review of Biochemistry'', 74, 833-865.<br />
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== Processing software ==<br />
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* Kremer, J. R., Mastronarde, D. N., & McIntosh, J. R. (1996). Computer visualization of three-dimensional image data using IMOD. ''Journal of Structural Biology'', 116(1), 71-76.<br />
* Mastronarde, D. N., & Held, S. R. (2017). Automated tilt series alignment and tomographic reconstruction in IMOD. ''Journal of Structural Biology'', 197(2), 102-113.<br />
* Scheres, S. H. W. (2012). RELION: implementation of a Bayesian approach to cryo-EM structure determination. ''Journal of Structural Biology'', 180(3), 519-530.<br />
* Punjani, A., Rubinstein, J. L., Fleet, D. J., & Brubaker, M. A. (2017). cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. ''Nature Methods'', 14, 290-296.<br />
* de la Rosa-Trevin, J. M., Quintana, A., del Cano, L., et al. (2016). Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy. ''Journal of Structural Biology'', 195(1), 93-99.<br />
* Tegunov, D., & Cramer, P. (2019). Real-time cryo-electron microscopy data preprocessing with Warp. ''Nature Methods'', 16, 1146-1152.<br />
* Tegunov, D., Xue, L., Dienemann, C., Cramer, P., & Mahamid, J. (2021). Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.5 Angstrom in cells. ''Nature Methods'', 18, 186-193.<br />
* Liu, H.-F., Zhou, Y., Huang, Q., et al. (2023). nextPYP: A comprehensive and scalable platform for characterizing protein variability in-situ using single-particle cryo-electron tomography. ''Nature Methods'', 20, 1909-1919.<br />
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== Denoising ==<br />
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* Buchholz, T.-O., Jordan, M., Pigino, G., & Jug, F. (2019). Cryo-CARE: Content-aware image restoration for cryo-transmission electron microscopy data. ''Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI)'', 502-506.<br />
* Wiedemann, S., & Heckel, R. (2024). A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography. ''Nature Communications'', 15, 8255.<br />
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[[Category:Reference]]</div>Admin