Machine learning across label-free optical measurement platforms for cellular dynamics and biomechanics.

Beres B, Horvath R

DOI: 10.1016/j.sbi.2026.103352
Published: 2026 Aug 12
Container: Current opinion in structural biology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.sbi.2026.103352,
  title = {Machine learning across label-free optical measurement platforms for cellular dynamics and biomechanics.},
  author = {Beres B and Horvath R},
  year = {2026},
  journal = {Current opinion in structural biology},
  doi = {10.1016/j.sbi.2026.103352},
  url = {https://doi.org/10.1016/j.sbi.2026.103352}
}

RIS

TY  - JOUR
TI  - Machine learning across label-free optical measurement platforms for cellular dynamics and biomechanics.
AU  - Beres B
AU  - Horvath R
PY  - 2026
JO  - Current opinion in structural biology
DO  - 10.1016/j.sbi.2026.103352
UR  - https://doi.org/10.1016/j.sbi.2026.103352
ER  -

APA

B, B., & R, H. (2026). Machine learning across label-free optical measurement platforms for cellular dynamics and biomechanics.. Current opinion in structural biology. https://doi.org/10.1016/j.sbi.2026.103352

Source records

pubmed · retrieved 2026-09-25T23:53:52.950Z