A variational framework with composite sparse regularization for cryo-electron tomography reconstruction

Chenyun Yu, Zihe Xu, Qiong Zeng, Xiaohua Wan, Haythem El-Messiry, Fa Zhang, Renmin Han

Open source

DOI: 10.1093/bioinformatics/btag206
Published: 2026-05-26
Container: Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag206,
  title = {A variational framework with composite sparse regularization for cryo-electron tomography reconstruction},
  author = {Chenyun Yu and Zihe Xu and Qiong Zeng and Xiaohua Wan and Haythem El-Messiry and Fa Zhang and Renmin Han},
  year = {2026},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btag206},
  url = {https://doi.org/10.1093/bioinformatics/btag206}
}

RIS

TY  - JOUR
TI  - A variational framework with composite sparse regularization for cryo-electron tomography reconstruction
AU  - Chenyun Yu
AU  - Zihe Xu
AU  - Qiong Zeng
AU  - Xiaohua Wan
AU  - Haythem El-Messiry
AU  - Fa Zhang
AU  - Renmin Han
PY  - 2026
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btag206
UR  - https://doi.org/10.1093/bioinformatics/btag206
ER  -

APA

Yu, C., Xu, Z., Zeng, Q., Wan, X., El-Messiry, H., Zhang, F., & Han, R. (2026). A variational framework with composite sparse regularization for cryo-electron tomography reconstruction. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag206

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crossref · retrieved 2026-09-26T02:07:24.202Z