Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamics.

Epstein L, Weiner AC, Verma A, Saeidi M, Carnevale J, Marson A, Engelhardt BE

Open source

DOI
10.1038/s41598-026-50029-9
Published
2026 Jun 30
Container
Scientific reports
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-50029-9,
  title = {Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamics.},
  author = {Epstein L and Weiner AC and Verma A and Saeidi M and Carnevale J and Marson A and Engelhardt BE},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-50029-9},
  url = {https://doi.org/10.1038/s41598-026-50029-9}
}

RIS

TY  - JOUR
TI  - Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamics.
AU  - Epstein L
AU  - Weiner AC
AU  - Verma A
AU  - Saeidi M
AU  - Carnevale J
AU  - Marson A
AU  - Engelhardt BE
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-50029-9
UR  - https://doi.org/10.1038/s41598-026-50029-9
ER  - 

APA

L, E., AC, W., A, V., M, S., J, C., A, M., & BE, E. (2026). Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamics.. Scientific reports. https://doi.org/10.1038/s41598-026-50029-9

Source records