The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Noninvasive, In Vivo Assessment of Mouse Retinal Structure Using Optical Coherence Tomography
Open accessAbstract
BACKGROUND: Optical coherence tomography (OCT) is a novel method of retinal in vivo imaging. In this study, we assessed the potential of OCT to yield histology-analogue sections in mouse models of retinal degeneration. METHODOLOGY/PRINCIPAL FINDINGS: We achieved to adapt a commercial 3(rd) generation OCT system to obtain and quantify high-resolution morphological sections of the mouse retina which so far required in vitro histology. OCT and histology were compared in models with developmental defects, light damage, and inherited retinal degenerations. In conditional knockout mice deficient in retinal retinoblastoma protein Rb, the gradient of Cre expression from center to periphery, leading to a gradual reduction of retinal thickness, was clearly visible and well topographically quantifiable. In Nrl knockout mice, the layer involvement in the formation of rosette-like structures was similarly clear as in histology. OCT examination of focal light damage, well demarcated by the autofluorescence pattern, revealed a practically complete loss of photoreceptors with preservation of inner retinal layers, but also more subtle changes like edema formation. In Crb1 knockout mice (a model for Leber's congenital amaurosis), retinal vessels slipping through the outer nuclear layer towards the retinal pigment epithelium (RPE) due to the lack of adhesion in the subapical region of the photoreceptor inner segments could be well identified. CONCLUSIONS/SIGNIFICANCE: We found that with the OCT we were able to detect and analyze a wide range of mouse retinal pathology, and the results compared well to histological sections. In addition, the technique allows to follow individual animals over time, thereby reducing the numbers of study animals needed, and to assess dynamic processes like edema formation. The results clearly indicate that OCT has the potential to revolutionize the future design of respective short- and long-term studies, as well as the preclinical assessment of therapeutic strategies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nrl is required for rod photoreceptor development
Mears, A. J., Kondo, M., Swain, P. K., Takada, Y., Bush, R. A., Saunders, T. L., Sieving, P. A., & Swaroop, A. (2001) · Nature Genetics · doi:10.1038/ng774 · Cited by 912
Chen, D., Livne-bar, I., Vanderluit, J. L., Slack, R. S., Agochiya, M., & Bremner, R. (2004) · Cancer Cell · doi:10.1016/j.ccr.2004.05.025 · Cited by 281
Self-citationRb-Mediated Neuronal Differentiation through Cell-Cycle–Independent Regulation of E2f3a
Chen, D., Opavsky, R., Pacal, M., Tanimoto, N., Wenzel, P., Seeliger, M. W., Leone, G., & Bremner, R. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050179 · Cited by 91
Self-citation
Cited by
Dalkara, D., Byrne, L. C., Klimczak, R. R., Visel, M., Yin, L., Merigan, W. H., Flannery, J. G., & Schaffer, D. V. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005708 · Cited by 734
Rapamycin extends murine lifespan but has limited effects on aging
Neff, F., Flores-Dominguez, D., Ryan, D. P., Horsch, M., Schröder, S., Adler, T., Afonso, L. C., Aguilar-Pimentel, J. A., Becker, L., Garrett, L., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci67674 · Cited by 374
Optical Coherence Tomography: History, Current Status, and Laboratory Work
Gabriele, M. L., Wollstein, G., Ishikawa, H., Kagemann, L., Xu, J., Folio, L. S., & Schuman, J. S. (2011) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.10-6312 · Cited by 310
Chu, C. J., Herrmann, P., Carvalho, L. S., Liyanage, S. E., Bainbridge, J. W. B., Ali, R. R., Dick, A. D., & Luhmann, U. F. O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063002 · Cited by 60
Kotterman, M., Beliakoff, G., Croze, R., Vazin, T., Schmitt, C., Szymanski, P., Leong, M., Quezada, M., Holt, J., Barglow, K., et al. (2021) · doi:10.1101/2021.06.24.449775 · Cited by 20
Metadata
- Authors
- Fischer, M. D., Huber, G., Beck, S. C., Tanimoto, N., Muehlfriedel, R., Fahl, E., Grimm, C., Wenzel, A., Remé, C. E., van de Pavert, S. A., Wijnholds, J., Pacal, M., Bremner, R., & Seeliger, M. W.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-10-19
- Volume
- 4
- Issue
- 10
- Pages
- e7507
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1998183942
- Cited by
- 251
- References
- 3
- FWCI
- 12.23
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Noninvasive, In Vivo Assessment of Mouse Retinal Structure Using Optical Coherence Tomography. https://app.cochat.ai/papers/10.1371/journal.pone.0007507
- The paper
- Fischer, M. D., Huber, G., Beck, S. C., Tanimoto, N., Muehlfriedel, R., Fahl, E., Grimm, C., Wenzel, A., Remé, C. E., van de Pavert, S. A., Wijnholds, J., Pacal, M., Bremner, R., & Seeliger, M. W. (2009). Noninvasive, In Vivo Assessment of Mouse Retinal Structure Using Optical Coherence Tomography. PLoS ONE. https://doi.org/10.1371/journal.pone.0007507
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.