{
  "abstract": "Deep-learning-based holographic reconstruction requires numerical data with reliable ground truth for training and quantitative evaluation. Experimental hologram acquisition and pixel-level phase annotation can be difficult to control, making physically defined numerical cases useful as reproducible benchmarks. Here, three analytically specified phase targets—a smooth Gaussian distribution, a four-level step distribution, and a radially structured Siemens Star—are used to generate off-axis digital holograms with known phase ground truth. A frequency-domain filtering procedure is applied before inverse Fourier reconstruction, followed by DCT-based global phase unwrapping. Reconstruction quality is quantified using root mean square error (RMSE), mean absolute error (MAE), correlation coefficient, and profile-based error analysis. The results show that reconstruction errors are comparatively small in smooth regions and increase near abrupt or high-spatial-frequency phase transitions. The three cases are therefore presented as controlled benchmark examples for algorithm verification and baseline comparison, not as a complete substitute for experimental holographic datasets or as a complete training corpus for deep-learning models.",
  "abstract_shown": true,
  "affiliations": [
    "School of Life Sciences, Tiangong University, Tianjin, China.",
    "College of Engineering and Technology, Tianjin Agricultural University, Tianjin, China."
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Junsheng Lu"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiaolong Shi",
      "orcid": "0009-0005-7692-5370"
    },
    {
      "affs": [
        0
      ],
      "name": "Jiaqi Sun"
    },
    {
      "affs": [
        0
      ],
      "name": "Shuhong Ren"
    },
    {
      "affs": [
        1
      ],
      "name": "Yanan Zeng"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/e8rj6bs7wj1ry.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0360375",
  "fulltext_url": "https://europepmc.org/articles/PMC13690232",
  "id": "e8rj6bs7wj1ry",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0360375",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "3107|Digital Holography and Microscopy"
    ],
    [
      "plos",
      "/Engineering and technology/Signal processing/Modulation"
    ],
    [
      "plos",
      "/Engineering and technology/Telecommunications/Carrier frequencies"
    ],
    [
      "plos",
      "/Physical sciences/Physics/Electromagnetic radiation/Light"
    ],
    [
      "plos",
      "/Physical sciences/Physics/Optics/Holography"
    ],
    [
      "plos",
      "/Physical sciences/Physics/Optics/Holography/Holograms"
    ],
    [
      "plos",
      "/Physical sciences/Physics/Waves/Wave interference"
    ],
    [
      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Fourier analysis"
    ],
    [
      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Mathematical functions/Transfer functions"
    ]
  ],
  "openalex": "W7214747306",
  "pdf_url": "https://europepmc.org/articles/PMC13690232?pdf=render",
  "pmcid": "PMC13690232",
  "pmid": "42911982",
  "published": "2026-10-22",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/e8rj6bs7wj1ry.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:23Z",
      "native_id": "10.1371/journal.pone.0360375",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0360375"
    },
    {
      "first_seen": "2026-10-30T12:20:10Z",
      "native_id": "MED:42911982",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42911982"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "plos:optics",
      "subfield": "optics-photonics"
    }
  ],
  "title": "Controlled numerical generation and reconstruction of off-axis digital holograms with object-specific frequency-domain filtering",
  "title_text": "Controlled numerical generation and reconstruction of off-axis digital holograms with object-specific frequency-domain filtering",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:10Z",
  "url": "https://research.draconitic.com/paper/e8rj6bs7wj1ry",
  "venue": "PLOS One",
  "versions": []
}