A simulated dataset and evaluation framework for assessing AI detection limits in digital holographic microscopy.

Molani A, Pálhalmi J, Mező A, Pennati F, Aliverti A

DOI: 10.1038/s41598-026-61176-4
Published: 2026 Jul 11
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-61176-4,
  title = {A simulated dataset and evaluation framework for assessing AI detection limits in digital holographic microscopy.},
  author = {Molani A and Pálhalmi J and Mező A and Pennati F and Aliverti A},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-61176-4},
  url = {https://doi.org/10.1038/s41598-026-61176-4}
}

RIS

TY  - JOUR
TI  - A simulated dataset and evaluation framework for assessing AI detection limits in digital holographic microscopy.
AU  - Molani A
AU  - Pálhalmi J
AU  - Mező A
AU  - Pennati F
AU  - Aliverti A
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-61176-4
UR  - https://doi.org/10.1038/s41598-026-61176-4
ER  -

APA

A, M., J, P., A, M., F, P., & A, A. (2026). A simulated dataset and evaluation framework for assessing AI detection limits in digital holographic microscopy.. Scientific reports. https://doi.org/10.1038/s41598-026-61176-4

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pubmed · retrieved 2026-09-25T16:52:27.316Z