Evidence map›Paper›PMID 28856049›Full record

ArticleBiomedical optics express2017

Toward whole-body quantitative photoacoustic tomography of small-animals with multi-angle light-sheet illuminations.

Yihan Wang, Jie He, Jiao Li, Tong Lu, Yong Li, Wenjuan Ma, Limin Zhang, Zhongxing Zhou, Huijuan Zhao, Feng Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Yihan WangCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Jie HeCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Jiao LiCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Tong LuCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Yong LiCancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China.
Wenjuan MaCancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China.
Limin ZhangCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Zhongxing ZhouCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Huijuan ZhaoCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Feng GaoCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several attempts to achieve the quantitative photoacoustic tomography (q-PAT) have been investigated using point sources or a single-angle wide-field illumination. However, these schemes normally suffer from low signal-to-noise ratio (SNR) or poor quantification in imaging applications on large-size domains, due to the limitation of ANSI-safety incidence and incompleteness in the data acquisition. We herein present a q-PAT implementation that uses multi-angle light-sheet illuminations and calibrated recovering-and-averaging iterations. The scheme can obtain more complete information on the intrinsic absorption from the multi-angle illumination mode, and collect SNR-boosted photoacoustic signals in the selected planes from the wide-field light-sheet excitation. Therefore, the sliced absorption maps over whole body of small-animals can be recovered in a measurement-flexible, noise-robust and computation-economic way. The proposed approach is validated by phantom,

Indexed as

(170.0110) Imaging systems(170.3010) Image reconstruction techniques(170.3880) Medical and biological imaging(170.5120) Photoacoustic imaging(170.6960) Tomography

Identifiers

PMID28856049
PMCPMC5560840

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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.