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Peer-reviewedLicence not statedOptics Express

Achieving high quality 3D RI reconstructions from sparse data in high-throughput Holographic Tomography through CNN-based 2D projection synthesis

  • Michal Gontarz
  • Arkadiusz Kus
  • Chao Zuo
  • Malgorzata Kujawinska
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Cite

BibTeXRIS
BibTeX
@article{gontarz2026achieving,
  title = {{Achieving high quality 3D RI reconstructions from sparse data in high-throughput Holographic Tomography through CNN-based 2D projection synthesis}},
  author = {Michal Gontarz and Arkadiusz Kus and Chao Zuo and Malgorzata Kujawinska},
  journal = {Optics Express},
  year = {2026},
  month = oct,
  doi = {10.1364/oe.604782},
  url = {https://opg.optica.org/oe/abstract.cfm?doi=10.1364/OE.604782},
}
RIS
TY  - JOUR
TI  - Achieving high quality 3D RI reconstructions from sparse data in high-throughput Holographic Tomography through CNN-based 2D projection synthesis
AU  - Michal Gontarz
AU  - Arkadiusz Kus
AU  - Chao Zuo
AU  - Malgorzata Kujawinska
PY  - 2026
DA  - 2026/10/16
JO  - Optics Express
DO  - 10.1364/oe.604782
UR  - https://opg.optica.org/oe/abstract.cfm?doi=10.1364/OE.604782
SN  - 1094-4087
ER  -