Evidence map›Paper›PMID 29333331›Full record

ArticleNature biomedical engineering2017

Single-impulse Panoramic Photoacoustic Computed Tomography of Small-animal Whole-body Dynamics at High Spatiotemporal Resolution.

Lei Li, Liren Zhu, Cheng Ma, Li Lin, Junjie Yao, Lidai Wang, Konstantin Maslov, Ruiying Zhang, Wanyi Chen, Junhui Shi and 1 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

218 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Two-Photon Endomicroscopy for Image-Guided Magnetic Micro-Agents.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Volumetric FLASH dosimetryPhysics in medicine and biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Whole cross-sectional human ultrasound tomography.Nature biomedical engineering · 2026
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

158 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.

Lei LiDepartment of Electrical and Systems Engineering, Washington University in St. Louis, One Brookings Dr., St. Louis, MO, 63130.
Liren ZhuDepartment of Medical Engineering, California Institute of Technology, 1200 E California Blvd., Pasadena, CA 91125.
Cheng MaDepartment of Biomedical Engineering, Washington University in St. Louis, One Brookings Dr., St. Louis, MO, 63130.
Li LinDepartment of Medical Engineering, California Institute of Technology, 1200 E California Blvd., Pasadena, CA 91125.
Junjie YaoDepartment of Biomedical Engineering, Washington University in St. Louis, One Brookings Dr., St. Louis, MO, 63130.
Lidai WangDepartment of Biomedical Engineering, Washington University in St. Louis, One Brookings Dr., St. Louis, MO, 63130.
Konstantin MaslovDepartment of Medical Engineering, California Institute of Technology, 1200 E California Blvd., Pasadena, CA 91125.
Ruiying ZhangDepartment of Biomedical Engineering, Washington University in St. Louis, One Brookings Dr., St. Louis, MO, 63130.
Wanyi ChenDepartment of Biomedical Engineering, Washington University in St. Louis, One Brookings Dr., St. Louis, MO, 63130.
Junhui ShiDepartment of Medical Engineering, California Institute of Technology, 1200 E California Blvd., Pasadena, CA 91125.
Lihong V WangDepartment of Medical Engineering, California Institute of Technology, 1200 E California Blvd., Pasadena, CA 91125.

Funding

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
Deep brain photoacoustic tomography at single-neuron resolution using arrays of photonic emitters and high-frequency ultrasound transducersU01NS099717 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROUKES, MICHAEL L, SHEPARD, KENNETH L · 2016 to 2018
$3.0M
FAST HIGH-RESOLUTION DEEP PHOTOACOUSTIC TOMOGRAPHY OF ACTION POTENTIALS IN BRAINSU01NS090579 · NINDS · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2014 to 2016
$2.7M
WHOLE-BODY SMALL-ANIMAL PHOTOACOUSTIC-ULTRASONIC COMPUTED TOMOGRAPHYR01EB016963 · NIBIB · WASHINGTON UNIVERSITY · PI ANASTASIO, MARK A · 2013 to 2016
$2.4M
HIGH-FREQUENCY ULTRASONIC AND PHOTOACOUSTIC IMAGING SYSTEMS10RR026922 · NCRR · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2011 to 2011
$599k
NCI NIH HHS R01 CA186567NCRR NIH HHS S10 RR026922NIBIB NIH HHS DP1 EB016986NIBIB NIH HHS R01 EB016963NINDS NIH HHS U01 NS090579NINDS NIH HHS U01 NS099717
6 · The paper itself

Abstract

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 (~1/3), and non-optical techniques for whole-body imaging of small animals lack either spatiotemporal resolution or functional contrast. Here, we demonstrate that standalone single-impulse photoacoustic computed tomography (SIP-PACT) mitigates these limitations by combining high spatiotemporal resolution (125-µm in-plane resolution, 50 µs / frame data acquisition and 50-Hz frame rate), deep penetration (48-mm cross-sectional width

Identifiers

PMID29333331
PMCPMC5766044

What OpenQuestion holds

Textmetadata
LicenceTDM
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.