The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution
Open accessAbstract
Imaging of small animals has played an indispensable role in preclinical research by providing high-dimensional physiological, pathological and phenotypic insights with clinical relevance. Yet, pure optical imaging suffers from either shallow penetration (up to ~1–2 mm) or a poor depth-to-resolution ratio (~3), and non-optical techniques for whole-body imaging of small animals lack either spatiotemporal resolution or functional contrast. Here, we demonstrate that stand-alone single-impulse panoramic photoacoustic computed tomography (SIP-PACT) mitigates these limitations by combining high spatiotemporal resolution (125 μm in-plane resolution, 50 μs per frame data acquisition and 50 Hz frame rate), deep penetration (48 mm cross-sectional width in vivo), anatomical, dynamical and functional contrasts, and full-view fidelity. Using SIP-PACT, we imaged in vivo whole-body dynamics of small animals in real time and obtained clear sub-organ anatomical and functional details. We tracked unlabelled circulating melanoma cells and imaged the vasculature and functional connectivity of whole rat brains. SIP-PACT holds great potential for both preclinical imaging and clinical translation. Single-impulse photoacoustic computed tomography can, at deep penetration and high resolution and contrast, image the whole-body dynamics of small animals in real time, and track injected cancer cells and image the vasculature of whole rat brains.
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Computed Tomography — An Increasing Source of Radiation Exposure
Brenner, D. J., & Hall, E. J. (2007) · New England Journal of Medicine · doi:10.1056/nejmra072149 · Cited by 8,748
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Photoacoustic tomography: In vivo imaging from organelles to organs
Wang, L. V., & Hu, S. (2012) · Science · doi:10.1126/science.1216210 · Cited by 4,331
Self-citationIsolation of rare circulating tumour cells in cancer patients by microchip technology
Nagrath, S., Sequist, L. V., Maheswaran, S., Bell, D. W., Irimia, D., Ulkus, L., Smith, M. R., Kwak, E. L., Digumarthy, S., Muzikansky, A., et al. (2007) · Nature · doi:10.1038/nature06385 · Cited by 3,559
Two-Frame Motion Estimation Based on Polynomial Expansion
Farnebäck, G. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-45103-x_50 · Cited by 2,971
k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields
Treeby, B. E., & Cox, B. T. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3360308 · Cited by 2,337
Going deeper than microscopy: the optical imaging frontier in biology
Ntziachristos, V. (2010) · Nature Methods · doi:10.1038/nmeth.1483 · Cited by 1,896
Multimodal fast optical interrogation of neural circuitry
Zhang, F., Wang, L.-P., Brauner, M., Liewald, J. F., Kay, K., Watzke, N., Wood, P. G., Bamberg, E., Nagel, G., Gottschalk, A., et al. (2007) · Nature · doi:10.1038/nature05744 · Cited by 1,738
Self-citationIn vivo three-photon microscopy of subcortical structures within an intact mouse brain
Horton, N. G., Wang, K., Kobat, D., Clark, C. G., Wise, F. W., Schaffer, C. B., & Xu, C. (2013) · Nature Photonics · doi:10.1038/nphoton.2012.336 · Cited by 1,505
Cited by
The emerging role of photoacoustic imaging in clinical oncology
Lin, L., & Wang, L. V. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00615-3 · Cited by 469
Self-citationWu, Z., Li, L., Yang, Y., Hu, P., Li, Y., Yang, S.-Y., Wang, L. V., & Gao, W. (2019) · Science Robotics · doi:10.1126/scirobotics.aax0613 · Cited by 466
Self-citationDeep learning-enabled multi-organ segmentation in whole-body mouse scans
Schoppe, O., Pan, C., Coronel, J., Mai, H., Rong, Z., Todorov, M. I., Müskes, A., Navarro, F., Li, H., Ertürk, A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19449-7 · Cited by 104
Metadata
- Authors
- Li, L., Zhu, L., Ma, C., Lin, L., Yao, J., Wang, L., Maslov, K., Zhang, R., Chen, W., Shi, J., & Wang, L. V.
- Venue
- Nature Biomedical Engineering
- Published
- 2017-05-10
- Volume
- 1
- Issue
- 5
- ISSN
- 2157-846X (ISSN-L)
- OpenAlex
- W2613485993
- Cited by
- 477
- References
- 45
- FWCI
- 20.25
- Type
- journal article
- Language
- en
- Open access
- green
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: Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. https://app.cochat.ai/papers/10.1038/s41551-017-0071
- The paper
- Li, L., Zhu, L., Ma, C., Lin, L., Yao, J., Wang, L., Maslov, K., Zhang, R., Chen, W., Shi, J., & Wang, L. V. (2017). Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-017-0071
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.
