267 related articles for article (PubMed ID: 34675434)
1. Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms.
Moebel E; Martinez-Sanchez A; Lamm L; Righetto RD; Wietrzynski W; Albert S; Larivière D; Fourmentin E; Pfeffer S; Ortiz J; Baumeister W; Peng T; Engel BD; Kervrann C
Nat Methods; 2021 Nov; 18(11):1386-1394. PubMed ID: 34675434
[TBL] [Abstract][Full Text] [Related]
2. Simulating cryo electron tomograms of crowded cell cytoplasm for assessment of automated particle picking.
Pei L; Xu M; Frazier Z; Alber F
BMC Bioinformatics; 2016 Oct; 17(1):405. PubMed ID: 27716029
[TBL] [Abstract][Full Text] [Related]
3. MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms.
Lamm L; Righetto RD; Wietrzynski W; Pöge M; Martinez-Sanchez A; Peng T; Engel BD
Comput Methods Programs Biomed; 2022 Sep; 224():106990. PubMed ID: 35858496
[TBL] [Abstract][Full Text] [Related]
4. Hierarchical detection and analysis of macromolecular complexes in cryo-electron tomograms using Pyto software.
Lučić V; Fernández-Busnadiego R; Laugks U; Baumeister W
J Struct Biol; 2016 Dec; 196(3):503-514. PubMed ID: 27742578
[TBL] [Abstract][Full Text] [Related]
5. VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms.
Hao Y; Wan X; Yan R; Liu Z; Li J; Zhang S; Cui X; Zhang F
Comput Methods Programs Biomed; 2022 Jun; 221():106871. PubMed ID: 35584579
[TBL] [Abstract][Full Text] [Related]
6. Locating macromolecular assemblies in cells by 2D template matching with cisTEM.
Lucas BA; Himes BA; Xue L; Grant T; Mahamid J; Grigorieff N
Elife; 2021 Jun; 10():. PubMed ID: 34114559
[TBL] [Abstract][Full Text] [Related]
7. TomoTwin: generalized 3D localization of macromolecules in cryo-electron tomograms with structural data mining.
Rice G; Wagner T; Stabrin M; Sitsel O; Prumbaum D; Raunser S
Nat Methods; 2023 Jun; 20(6):871-880. PubMed ID: 37188953
[TBL] [Abstract][Full Text] [Related]
8. What shapes template-matching performance in cryogenic electron tomography in situ?
Maurer VJ; Siggel M; Kosinski J
Acta Crystallogr D Struct Biol; 2024 Jun; 80(Pt 6):410-420. PubMed ID: 38805246
[TBL] [Abstract][Full Text] [Related]
9. Compressed sensing for electron cryotomography and high-resolution subtomogram averaging of biological specimens.
Böhning J; Bharat TAM; Collins SM
Structure; 2022 Mar; 30(3):408-417.e4. PubMed ID: 35051366
[TBL] [Abstract][Full Text] [Related]
10. High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering.
Zeng X; Kahng A; Xue L; Mahamid J; Chang YW; Xu M
Proc Natl Acad Sci U S A; 2023 Apr; 120(15):e2213149120. PubMed ID: 37027429
[TBL] [Abstract][Full Text] [Related]
11. Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms.
Li R; Yu L; Zhou B; Zeng X; Wang Z; Yang X; Zhang J; Gao X; Jiang R; Xu M
PLoS Comput Biol; 2020 Nov; 16(11):e1008227. PubMed ID: 33175839
[TBL] [Abstract][Full Text] [Related]
12. Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data.
Kim HH; Uddin MR; Xu M; Chang YW
J Mol Biol; 2023 May; 435(9):168068. PubMed ID: 37003470
[TBL] [Abstract][Full Text] [Related]
13. PyTom: a python-based toolbox for localization of macromolecules in cryo-electron tomograms and subtomogram analysis.
Hrabe T; Chen Y; Pfeffer S; Cuellar LK; Mangold AV; Förster F
J Struct Biol; 2012 May; 178(2):177-88. PubMed ID: 22193517
[TBL] [Abstract][Full Text] [Related]
14. In Situ Cryo-Electron Tomography: A Post-Reductionist Approach to Structural Biology.
Asano S; Engel BD; Baumeister W
J Mol Biol; 2016 Jan; 428(2 Pt A):332-343. PubMed ID: 26456135
[TBL] [Abstract][Full Text] [Related]
15. A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation.
Liu S; Ban X; Zeng X; Zhao F; Gao Y; Wu W; Zhang H; Chen F; Hall T; Gao X; Xu M
BMC Bioinformatics; 2020 Sep; 21(1):399. PubMed ID: 32907544
[TBL] [Abstract][Full Text] [Related]
16. Towards unsupervised classification of macromolecular complexes in cryo electron tomography: Challenges and opportunities.
Moebel E; Kervrann C
Comput Methods Programs Biomed; 2022 Oct; 225():107017. PubMed ID: 35901628
[TBL] [Abstract][Full Text] [Related]
17. In Situ Studies of Mitochondrial Translation by Cryo-Electron Tomography.
Englmeier R; Förster F
Methods Mol Biol; 2021; 2192():243-268. PubMed ID: 33230778
[TBL] [Abstract][Full Text] [Related]
18. A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation.
Zeng X; Leung MR; Zeev-Ben-Mordehai T; Xu M
J Struct Biol; 2018 May; 202(2):150-160. PubMed ID: 29289599
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning-Based Segmentation of Cryo-Electron Tomograms.
Heebner JE; Purnell C; Hylton RK; Marsh M; Grillo MA; Swulius MT
J Vis Exp; 2022 Nov; (189):. PubMed ID: 36440884
[TBL] [Abstract][Full Text] [Related]
20. A method for restoring signals and revealing individual macromolecule states in cryo-ET, REST.
Zhang H; Li Y; Liu Y; Li D; Wang L; Song K; Bao K; Zhu P
Nat Commun; 2023 May; 14(1):2937. PubMed ID: 37217501
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
