Fluorescence microscopy tensor imaging representations for large-scale dataset analysis
- DOI
- 10.1038/s41598-020-62233-2
- Published
- 2020-03-27
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-020-62233-2,
title = {Fluorescence microscopy tensor imaging representations for large-scale dataset analysis},
author = {Claudio Vinegoni and Paolo Fumene Feruglio and Gabriel Courties and Stephen Schmidt and Maarten Hulsmans and Sungon Lee and Rui Wang and David Sosnovik and Matthias Nahrendorf and Ralph Weissleder},
year = {2020},
journal = {Scientific Reports},
doi = {10.1038/s41598-020-62233-2},
url = {https://doi.org/10.1038/s41598-020-62233-2}
}RIS
TY - JOUR TI - Fluorescence microscopy tensor imaging representations for large-scale dataset analysis AU - Claudio Vinegoni AU - Paolo Fumene Feruglio AU - Gabriel Courties AU - Stephen Schmidt AU - Maarten Hulsmans AU - Sungon Lee AU - Rui Wang AU - David Sosnovik AU - Matthias Nahrendorf AU - Ralph Weissleder PY - 2020 JO - Scientific Reports DO - 10.1038/s41598-020-62233-2 UR - https://doi.org/10.1038/s41598-020-62233-2 ER -
APA
Vinegoni, C., Feruglio, P. F., Courties, G., Schmidt, S., Hulsmans, M., Lee, S., Wang, R., Sosnovik, D., Nahrendorf, M., & Weissleder, R. (2020). Fluorescence microscopy tensor imaging representations for large-scale dataset analysis. Scientific Reports. https://doi.org/10.1038/s41598-020-62233-2
Source records
- crossref · retrieved 2026-09-26T03:26:32.185Z