Empirical Validation of SNR-Dependent Deep Learning Architectures for Label-Free Super-Resolution in Optical Microscopy.
- DOI
- 10.3390/nano16201334
- Published
- 2026 Oct 21
- Container
- Nanomaterials (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3390/nano16201334,
title = {Empirical Validation of SNR-Dependent Deep Learning Architectures for Label-Free Super-Resolution in Optical Microscopy.},
author = {Kaderuppan SS and Mar JD and Irvine AC and Sharma A and Saifuddin MR and Wong WLE and Woo WL},
year = {2026},
journal = {Nanomaterials (Basel, Switzerland)},
doi = {10.3390/nano16201334},
url = {https://doi.org/10.3390/nano16201334}
}RIS
TY - JOUR TI - Empirical Validation of SNR-Dependent Deep Learning Architectures for Label-Free Super-Resolution in Optical Microscopy. AU - Kaderuppan SS AU - Mar JD AU - Irvine AC AU - Sharma A AU - Saifuddin MR AU - Wong WLE AU - Woo WL PY - 2026 JO - Nanomaterials (Basel, Switzerland) DO - 10.3390/nano16201334 UR - https://doi.org/10.3390/nano16201334 ER -
APA
SS, K., JD, M., AC, I., A, S., MR, S., WLE, W., & WL, W. (2026). Empirical Validation of SNR-Dependent Deep Learning Architectures for Label-Free Super-Resolution in Optical Microscopy.. Nanomaterials (Basel, Switzerland). https://doi.org/10.3390/nano16201334
Source records
- pubmed · retrieved 2026-11-10T08:33:27.772Z