The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Longitudinal in vivo imaging of adult Danionella cerebrum using standard confocal microscopy
Abstract
Danionella cerebrum is a new vertebrate model that offers an exciting opportunity to visualize dynamic biological processes in intact adult animals. Key advantages of this model include its small size, life-long optical transparency, genetic amenability and short generation time. Establishing a reliable method for longitudinal in vivo imaging of adult D. cerebrum while maintaining viability will allow in-depth image-based studies of various processes involved in development, disease onset and progression, wound healing, and aging in an intact live animal. Here, a method for both prolonged and longitudinal confocal live imaging of adult D. cerebrum using custom-designed and 3D-printed imaging chambers is described. Two transgenic D. cerebrum lines were created to test the imaging system, i.e. Tg(mpeg1:dendra2) and Tg(kdrl:mCherry-caax). The first line was used to visualize macrophages and microglia, and the second for spatial registration. By using this approach, differences in immune cell morphology and behavior during homeostasis as well as in response to a stab wound or two-photon-induced brain injury were observed in intact adult fish over the course of several days.
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
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
Inflammaging: a new immune–metabolic viewpoint for age-related diseases
Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586
Sterile inflammation: sensing and reacting to damage
Chen, G. Y., & Nuñez, G. (2010) · Nature Reviews Immunology · doi:10.1038/nri2873 · Cited by 3,051
The Tol2kit: A multisite gateway‐based construction kit for Tol2 transposon transgenesis constructs
Kwan, K. M., Fujimoto, E., Grabher, C., Mangum, B. D., Hardy, M., Campbell, D. S., Parant, J. M., Yost, H. J., Kanki, J. P., & Chien, C.-B. (2007) · Developmental Dynamics · doi:10.1002/dvdy.21343 · Cited by 1,768
Transparent Adult Zebrafish as a Tool for In Vivo Transplantation Analysis
White, R. M., Sessa, A., Burke, C., Bowman, T., LeBlanc, J., Ceol, C., Bourque, C., Dovey, M., Goessling, W., Burns, C. E., et al. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2007.11.002 · Cited by 1,408
mpeg1 promoter transgenes direct macrophage-lineage expression in zebrafish
Ellett, F., Pase, L., Hayman, J. W., Andrianopoulos, A., & Lieschke, G. J. (2011) · Blood · doi:10.1182/blood-2010-10-314120 · Cited by 1,077
Kreisel, T., Frank, M. G., Licht, T., Reshef, R., Ben-Menachem-Zidon, O., Baratta, M. V., Maier, S. F., & Yirmiya, R. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.155 · Cited by 663
The zebrafish as a model for complex tissue regeneration
Gemberling, M., Bailey, T. J., Hyde, D. R., & Poss, K. D. (2013) · Trends in Genetics · doi:10.1016/j.tig.2013.07.003 · Cited by 566
Neuroinflammation after Intracerebral Hemorrhage and Potential Therapeutic Targets
Tschoe, C., Bushnell, C. D., Duncan, P. W., Alexander-Miller, M. A., & Wolfe, S. Q. (2020) · Journal of Stroke · doi:10.5853/jos.2019.02236 · Cited by 490
In vivo two-photon microscopy to 1.6-mm depth in mouse cortex
Kobat, D., Horton, N. G., & Xu, C. (2011) · Journal of Biomedical Optics · doi:10.1117/1.3646209 · Cited by 417
Research works printed but not linked: 1
- Westerfield, 1993, The Zebrafish Book: A Guide for The Laboratory Use of Zebrafish (Brachydanio rerio)
Cited by
Penalva-Tena, A., Bedke, J., Gaudin, A., Barrios, J. P., Bertram, E. P. L., & Douglass, A. D. (2018) · doi:10.1101/444026 · Cited by 41
Zebrafish relatives as models for functional comparative genetics and genomics
Podobnik, M., Lu, Y., Irion, U., & Currie, P. D. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-026-01007-4 · Cited by 1
Metadata
- Authors
- Lam, P.-Y.
- Venue
- Disease Models & Mechanisms
- Publisher
- The Company of Biologists
- Published
- 2022-12-01
- Volume
- 15
- Issue
- 12
- ISSN
- 1754-8403
- 1754-8411
- Cited by
- 33
- References
- 52
- Language
- en
- Funders
- National Institute of Neurological Disorders and Stroke (R00NS112599)
- Medical College of Wisconsin
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: Longitudinal in vivo imaging of adult Danionella cerebrum using standard confocal microscopy. https://app.cochat.ai/papers/10.1242/dmm.049753
- The paper
- Lam, P.-Y. (2022). Longitudinal in vivo imaging of adult Danionella cerebrum using standard confocal microscopy. Disease Models & Mechanisms. https://doi.org/10.1242/dmm.049753
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.
