Evidence map›Paper›PMID 29123109›Full record

ArticleNature communications2017

Label-free automated three-dimensional imaging of whole organs by microtomy-assisted photoacoustic microscopy.

Terence T W Wong, Ruiying Zhang, Chi Zhang, Hsun-Chia Hsu, Konstantin I Maslov, Lidai Wang, Junhui Shi, Ruimin Chen, K Kirk Shung, Qifa Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 149 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Label-Free 3D Photoacoustic Imaging of Tumor Organoids for Volumetric Drug Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Review
  7. Emerging Photoacoustic Imaging Techniques for Peripheral Arterial Disease.Current treatment options in cardiovascular medicine · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Engineering the future of 3D pathology.The journal of pathology. Clinical research · 2024
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. An end-to-end workflow for non-destructive 3D pathology.bioRxiv : the preprint server for biology · 2023
    Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Terence T W WongCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID http://orcid.org/0000-0001-6399-758X
Ruiying ZhangOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Chi ZhangOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Hsun-Chia HsuCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Konstantin I MaslovCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Lidai WangOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Junhui ShiCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Ruimin ChenNIH Resource Center for Medical Ultrasonic Transducer Technology, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.ORCID http://orcid.org/0000-0002-5338-359X
K Kirk ShungNIH Resource Center for Medical Ultrasonic Transducer Technology, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Qifa ZhouNIH Resource Center for Medical Ultrasonic Transducer Technology, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA. LVW@Caltech.edu.
California Institute of Technology · USUniversity of Southern California · USWashington University in St. Louis · US

Funding

Washington University Center for Translational NeuroscienceP30NS057105 · NINDS · WASHINGTON UNIVERSITY · PI HOLTZMAN, DAVID M. · 2006 to 2011
$8.7M
PHOTON TUNNELING: SHEDDING NEW LIGHT ON BIOMEDICINEDP1EB016986 · NIBIB · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2012 to 2016
$3.8M
IN VIVO IMAGING OF SINGLE CIRCULATING CELLSR01CA186567 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2013 to 2017
$3.6M
NCI NIH HHS R01 CA186567NIBIB NIH HHS DP1 EB016986NINDS NIH HHS P30 NS057105
6 · The paper itself

Abstract

Three-dimensional (3D) optical imaging of whole biological organs with microscopic resolution has remained a challenge. Most versions of such imaging techniques require special preparation of the tissue specimen. Here we demonstrate microtomy-assisted photoacoustic microscopy (mPAM) of mouse brains and other organs, which automatically acquires serial distortion-free and registration-free images with endogenous absorption contrasts. Without tissue staining or clearing, mPAM generates micrometer-resolution 3D images of paraffin- or agarose-embedded whole organs with high fidelity, achieved by label-free simultaneous sensing of DNA/RNA, hemoglobins, and lipids. mPAM provides histology-like imaging of cell nuclei, blood vessels, axons, and other anatomical structures, enabling the application of histopathological interpretation at the organelle level to analyze a whole organ. Its deep tissue imaging capability leads to less sectioning, resulting in negligible sectioning artifact. mPAM offers a new way to better understand complex biological organs.

Indexed as

AnimalsBrainEquipment DesignFormaldehydeImaging, Three-DimensionalKidneyLungMiceMicroscopyMicrotomyMolecular ImagingParaffin EmbeddingPhotoacoustic TechniquesSepharoseTissue EmbeddingUltraviolet RaysFormaldehydeSepharose

Identifiers

PMID29123109
PMCPMC5680318
OpenAlexW2766278978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.