Evidence map›Paper›PMID 31653076›Full record

ReviewSensors (Basel, Switzerland)2019

Dual-Polarized Fiber Laser Sensor for Photoacoustic Microscopy.

Xiangwei Lin, Yizhi Liang, Long Jin, Lidai Wang

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. 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
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  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

4 authors at 2 institutions in 2 countries.

Xiangwei LinDepartment of Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Ave, Kowloon 999077, Hong Kong, China. lin_xiangwei@yeah.net.
Yizhi LiangGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China. liangyizhi88528@gmail.com.
Long JinGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China. iptjinlong@gmail.com.
Lidai WangDepartment of Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Ave, Kowloon 999077, Hong Kong, China. lidawang@cityu.edu.hk.
City University of Hong Kong · HKJinan University · CN

Funding

Fundamental Research Funds for the Central Universities 21618319National Natural Science Foundation of China 81627805, 61805102Research Grants Council of the Hong Kong Special Administrative Region 21205016, 11215817, 11101618Shenzhen Basic Research Project JCYJ20160329150236426, JCYJ20170413140519030
6 · The paper itself

Abstract

Optical resolution photoacoustic microscopy (OR-PAM) provides high-resolution, label-free and non-invasive functional imaging for broad biomedical applications. Dual-polarized fiber laser sensors have high sensitivity, low noise, a miniature size, and excellent stability; thus, they have been used in acoustic detection in OR-PAM. Here, we review recent progress in fiber-laser-based ultrasound sensors for photoacoustic microscopy, especially the dual-polarized fiber laser sensor with high sensitivity. The principle, characterization and sensitivity optimization of this type of sensor are presented. In vivo experiments demonstrate its excellent performance in the detection of photoacoustic (PA) signals in OR-PAM. This review summarizes representative applications of fiber laser sensors in OR-PAM and discusses their further improvements.

Indexed as

dual polarizationfiber laser sensorhigh sensitivityhigh stabilityoptical resolution photoacoustic microscopy

Identifiers

PMID31653076
PMCPMC6864677
OpenAlexW2982113905

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.