The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A practical guide to evaluating colocalization in biological microscopy
Open accessAbstract
Fluorescence microscopy is one of the most powerful tools for elucidating the cellular functions of proteins and other molecules. In many cases, the function of a molecule can be inferred from its association with specific intracellular compartments or molecular complexes, which is typically determined by comparing the distribution of a fluorescently labeled version of the molecule with that of a second, complementarily labeled probe. Although arguably the most common application of fluorescence microscopy in biomedical research, studies evaluating the “colocalization” of two probes are seldom quantified, despite a diversity of image analysis tools that have been specifically developed for that purpose. Here we provide a guide to analyzing colocalization in cell biology studies, emphasizing practical application of quantitative tools that are now widely available in commercial and free image analysis software.
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
Burette, A. C., Strehler, E. E., & Weinberg, R. J. (2009) · Journal of Comparative Neurology · doi:10.1002/cne.21909 · Cited by 40
Cited by
Structural and molecular interrogation of intact biological systems
Chung, K., Wallace, J., Kim, S.-Y., Kalyanasundaram, S., Andalman, A. S., Davidson, T. J., Mirzabekov, J. J., Zalocusky, K. A., Mattis, J., Denisin, A. K., et al. (2013) · Nature · doi:10.1038/nature12107 · Cited by 2,008
Characterization of LAMP1-labeled nondegradative lysosomal and endocytic compartments in neurons
Cheng, X.-T., Xie, Y.-X., Zhou, B., Huang, N., Farfel-Becker, T., & Sheng, Z.-H. (2018) · Journal of Cell Biology · doi:10.1083/jcb.201711083 · Cited by 294
Mitochondria are secreted in extracellular vesicles when lysosomal function is impaired
Liang, W., Sagar, S., Ravindran, R., Najor, R. H., Quiles, J. M., Chi, L., Diao, R. Y., Woodall, B. P., Leon, L. J., Zumaya, E., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40680-5 · Cited by 273
Meilandt, W. J., Ngu, H., Gogineni, A., Lalehzadeh, G., Lee, S.-H., Srinivasan, K., Imperio, J., Wu, T., Weber, M., Kruse, A. J., et al. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.1871-19.2019 · Cited by 210
“To determine colocalization of ApoE and Iba1 staining, or methoxy-X04 and Iba1 staining, we calculated the Mander’s colocalization coefficients using the ImageJ plugin JACoP, as described previously (Dunn et al., 2011).”
MethodLysosomal recruitment of TSC2 is a universal response to cellular stress
Demetriades, C., Plescher, M., & Teleman, A. A. (2016) · Nature Communications · doi:10.1038/ncomms10662 · Cited by 160
Metadata
- Authors
- Dunn, K. W., Kamocka, M. M., & McDonald, J. H.
- Venue
- American Journal of Physiology-Cell Physiology
- Publisher
- American Physiological Society
- Published
- 2011-04
- Volume
- 300
- Issue
- 4
- Pages
- C723-C742
- ISSN
- 0363-6143 (ISSN-L)
- 1522-1563
- OpenAlex
- W2150737519
- Cited by
- 2,038
- References
- 1
- FWCI
- 17.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.