Physics-informed deep learning for phase retrieval and self-calibration in Zernike phase-contrast microscopy.

Kurata R, Toda K, Ideguchi T, Horisaki R

DOI: 10.1364/ol.611085
Published: 2026 Oct 1
Container: Optics letters
Publisher: Not recorded
Open access: no

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

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1364/ol.611085,
  title = {Physics-informed deep learning for phase retrieval and self-calibration in Zernike phase-contrast microscopy.},
  author = {Kurata R and Toda K and Ideguchi T and Horisaki R},
  year = {2026},
  journal = {Optics letters},
  doi = {10.1364/ol.611085},
  url = {https://doi.org/10.1364/ol.611085}
}

RIS

TY  - JOUR
TI  - Physics-informed deep learning for phase retrieval and self-calibration in Zernike phase-contrast microscopy.
AU  - Kurata R
AU  - Toda K
AU  - Ideguchi T
AU  - Horisaki R
PY  - 2026
JO  - Optics letters
DO  - 10.1364/ol.611085
UR  - https://doi.org/10.1364/ol.611085
ER  -

APA

R, K., K, T., T, I., & R, H. (2026). Physics-informed deep learning for phase retrieval and self-calibration in Zernike phase-contrast microscopy.. Optics letters. https://doi.org/10.1364/ol.611085

Source records

pubmed · retrieved 2026-11-10T07:06:56.124Z
europe-pmc · retrieved 2026-11-10T07:06:56.124Z