The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Tissue clearing of both hard and soft tissue organs with the PEGASOS method
Open accessAbstract
Tissue clearing technique enables visualization of opaque organs and tissues in 3-dimensions (3-D) by turning tissue transparent. Current tissue clearing methods are restricted by limited types of tissues that can be cleared with each individual protocol, which inevitably led to the presence of blind-spots within whole body or body parts imaging. Hard tissues including bones and teeth are still the most difficult organs to be cleared. In addition, loss of endogenous fluorescence remains a major concern for solvent-based clearing methods. Here, we developed a polyethylene glycol (PEG)-associated solvent system (PEGASOS), which rendered nearly all types of tissues transparent and preserved endogenous fluorescence. Bones and teeth could be turned nearly invisible after clearing. The PEGASOS method turned the whole adult mouse body transparent and we were able to image an adult mouse head composed of bones, teeth, brain, muscles, and other tissues with no blind areas. Hard tissue transparency enabled us to reconstruct intact mandible, teeth, femur, or knee joint in 3-D. In addition, we managed to image intact mouse brain at sub-cellular resolution and to trace individual neurons and axons over a long distance. We also visualized dorsal root ganglions directly through vertebrae. Finally, we revealed the distribution pattern of neural network in 3-D within the marrow space of long bone. These results suggest that the PEGASOS method is a useful tool for general biomedical research.
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
The bone marrow niche for haematopoietic stem cells
Morrison, S. J., & Scadden, D. T. (2014) · Nature · doi:10.1038/nature12984 · Cited by 2,451
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
iDISCO: A Simple, Rapid Method to Immunolabel Large Tissue Samples for Volume Imaging
Renier, N., Wu, Z., Simon, D. J., Yang, J., Ariel, P., & Tessier-Lavigne, M. (2014) · Cell · doi:10.1016/j.cell.2014.10.010 · Cited by 1,818
Chen, F., Tillberg, P. W., & Boyden, E. S. (2015) · Science · doi:10.1126/science.1260088 · Cited by 1,501
Signals from the Sympathetic Nervous System Regulate Hematopoietic Stem Cell Egress from Bone Marrow
Katayama, Y., Battista, M., Kao, W.-M., Hidalgo, A., Peired, A. J., Thomas, S. A., & Frenette, P. S. (2006) · Cell · doi:10.1016/j.cell.2005.10.041 · Cited by 1,412
Zhou, B. O., Yue, R., Murphy, M. M., Peyer, J. G., & Morrison, S. J. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.06.008 · Cited by 1,381
Self-citationAcute promyelocytic leukemia: from highly fatal to highly curable
Wang, Z.-Y., & Chen, Z. (2008) · Blood · doi:10.1182/blood-2007-07-102798 · Cited by 1,277
Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
Dodt, H.-U., Leischner, U., Schierloh, A., Jährling, N., Mauch, C. P., Deininger, K., Deussing, J. M., Eder, M., Zieglgänsberger, W., & Becker, K. (2007) · Nature Methods · doi:10.1038/nmeth1036 · Cited by 1,238
Scale: a chemical approach for fluorescence imaging and reconstruction of transparent mouse brain
Hama, H., Kurokawa, H., Kawano, H., Ando, R., Shimogori, T., Noda, H., Fukami, K., Sakaue-Sawano, A., & Miyawaki, A. (2011) · Nature Neuroscience · doi:10.1038/nn.2928 · Cited by 1,142
Cited by
Cai, R., Pan, C., Ghasemigharagoz, A., Todorov, M. I., Förstera, B., Zhao, S., Bhatia, H. S., Parra-Damas, A., Mrowka, L., Theodorou, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0301-3 · Cited by 470
Cellular and Molecular Probing of Intact Human Organs
Zhao, S., Todorov, M. I., Cai, R., -Maskari, R. A., Steinke, H., Kemter, E., Mai, H., Rong, Z., Warmer, M., Stanic, K., et al. (2020) · Cell · doi:10.1016/j.cell.2020.01.030 · Cited by 292
A guidebook for DISCO tissue clearing
Molbay, M., Kolabas, Z. I., Todorov, M. I., Ohn, T., & Ertürk, A. (2021) · Molecular Systems Biology · doi:10.15252/msb.20209807 · Cited by 96
Whole-mouse clearing and imaging at the cellular level with vDISCO
Cai, R., Kolabas, Z. I., Pan, C., Mai, H., Zhao, S., Kaltenecker, D., Voigt, F. F., Molbay, M., Ohn, T.-L., Vincke, C., et al. (2023) · Nature Protocols · doi:10.1038/s41596-022-00788-2 · Cited by 83
Courties, A., Belle, M., Senay, S., Cambon-Binder, A., Sautet, A., Chédotal, A., Berenbaum, F., & Sellam, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-65873-6 · Cited by 30
Metadata
- Authors
- Jing, D., Zhang, S., Luo, W., Gao, X., Men, Y., Ma, C., Liu, X., Yi, Y., Bugde, A., Zhou, B. O., Zhao, Z., Yuan, Q., Feng, J. Q., Gao, L., Ge, W.-P., & Zhao, H.
- Venue
- Cell Research
- Published
- 2018-05-29
- Volume
- 28
- Issue
- 8
- Pages
- 803-818
- ISSN
- 1001-0602 (ISSN-L)
- 1748-7838
- OpenAlex
- W2806488757
- Cited by
- 394
- References
- 42
- FWCI
- 17.68
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Tissue clearing of both hard and soft tissue organs with the PEGASOS method. https://app.cochat.ai/papers/10.1038/s41422-018-0049-z
- The paper
- Jing, D., Zhang, S., Luo, W., Gao, X., Men, Y., Ma, C., Liu, X., Yi, Y., Bugde, A., Zhou, B. O., Zhao, Z., Yuan, Q., Feng, J. Q., Gao, L., Ge, W.-P., & Zhao, H. (2018). Tissue clearing of both hard and soft tissue organs with the PEGASOS method. Cell Research. https://doi.org/10.1038/s41422-018-0049-z
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.
