From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.

Beigzadeh M, Hazra JP, Kapanidis AN

DOI: 10.1016/j.sbi.2026.103268
Published: 2026 Jun
Container: Current opinion in structural biology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.sbi.2026.103268,
  title = {From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.},
  author = {Beigzadeh M and Hazra JP and Kapanidis AN},
  year = {2026},
  journal = {Current opinion in structural biology},
  doi = {10.1016/j.sbi.2026.103268},
  url = {https://doi.org/10.1016/j.sbi.2026.103268}
}

RIS

TY  - JOUR
TI  - From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.
AU  - Beigzadeh M
AU  - Hazra JP
AU  - Kapanidis AN
PY  - 2026
JO  - Current opinion in structural biology
DO  - 10.1016/j.sbi.2026.103268
UR  - https://doi.org/10.1016/j.sbi.2026.103268
ER  -

APA

M, B., JP, H., & AN, K. (2026). From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.. Current opinion in structural biology. https://doi.org/10.1016/j.sbi.2026.103268

Source records

pubmed · retrieved 2026-09-27T10:13:50.695Z
europe-pmc · retrieved 2026-09-27T10:13:50.706Z