Evidence map›Paper›PMID 31065416›Full record

ArticleBiomedical optics express2018

Assessment of microvasculature flow state with a high speed all-optic dual-modal system of optical coherence tomography and photoacoustic imaging.

Zhenhe Ma, Shuzhuo Luo, Menghan Yu, Jian Liu, Yuqian Zhao, Yao Yu, Jiangtao Lv, Xiaofang Zhang, Yi Wang

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

9 authors at 2 institutions in 1 country.

Zhenhe MaSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Shuzhuo LuoSchool of Computer Science and Engineering, Northeastern University, Shenyang 110004, China.
Menghan YuSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Jian LiuSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Yuqian ZhaoSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Yao YuSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Jiangtao LvSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Xiaofang ZhangSchool of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China.
Yi WangSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Northeastern University · CNBeijing Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a high speed all-optic dual-modal system that combines spectral domain optical coherence tomography (SDOCT) and photoacoustic imaging (PAI) to evaluate microvasculature flow states. A homodyne interferometer was used to remotely detect the surface vibration caused by photoacoustic (PA) waves. The PA excitation, PA probing and SDOCT probing beams share the same X-Y galvanometer scanner to perform fast two-dimensional scanning. In addition, we introduced multi-excitation, dual-channel acquisition and sensitivity compensation to improve the imaging speed of the PAI sub-system. The total time for imaging a sample with 256 × 256 pixels is less than 1 minute. The performance of the proposed system was verified by

Identifiers

PMID31065416
PMCPMC6490985
OpenAlexW2900064418

What OpenQuestion holds

Textmetadata
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.