DEP-track: a motion-aware framework for large-scale cell tracking and crossover frequency estimation in dielectrophoresis.

Lee S, Choi S, Lee Y, Bae H, Han J, Kim YS, Lee SW, Yang S

DOI: 10.3389/fbinf.2026.1821804
Published: 2026
Container: Frontiers in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fbinf.2026.1821804,
  title = {DEP-track: a motion-aware framework for large-scale cell tracking and crossover frequency estimation in dielectrophoresis.},
  author = {Lee S and Choi S and Lee Y and Bae H and Han J and Kim YS and Lee SW and Yang S},
  year = {2026},
  journal = {Frontiers in bioinformatics},
  doi = {10.3389/fbinf.2026.1821804},
  url = {https://doi.org/10.3389/fbinf.2026.1821804}
}

RIS

TY  - JOUR
TI  - DEP-track: a motion-aware framework for large-scale cell tracking and crossover frequency estimation in dielectrophoresis.
AU  - Lee S
AU  - Choi S
AU  - Lee Y
AU  - Bae H
AU  - Han J
AU  - Kim YS
AU  - Lee SW
AU  - Yang S
PY  - 2026
JO  - Frontiers in bioinformatics
DO  - 10.3389/fbinf.2026.1821804
UR  - https://doi.org/10.3389/fbinf.2026.1821804
ER  -

APA

S, L., S, C., Y, L., H, B., J, H., YS, K., SW, L., & S, Y. (2026). DEP-track: a motion-aware framework for large-scale cell tracking and crossover frequency estimation in dielectrophoresis.. Frontiers in bioinformatics. https://doi.org/10.3389/fbinf.2026.1821804

Source records

pubmed · retrieved 2026-09-25T01:01:29.870Z