Evidence map›Paper›PMID 27168282›Full record

ArticleApplied optics2016

Enabling high-speed wide-field dynamic imaging in multifocal photoacoustic computed microscopy: a simulation study.

Hongying Wan, Yihang Zhou, Leslie Ying, Jing Meng, Liang Song, Jun Xia

Abstract read
In one paragraph

Article in Applied optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. The State of the NIH BRAIN Initiative.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    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

6 authors at 3 institutions in 2 countries.

Hongying Wan
Yihang Zhou
Leslie Ying
Jing Meng
Liang Song
Jun Xia
University at Buffalo, State University of New York · USChinese Academy of Sciences · CNQufu Normal University · CN

Funding

Potentiometric photoacoustic imaging of brain activity enabled by near infrared to visible light converting nanoparticlesR21EY026411 · NEI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PRASAD, PARAS N., XIA, JUN · 2015 to 2016
$447k
NEI NIH HHS R21 EY026411
6 · The paper itself

Abstract

Photoacoustic-computed microscopy (PACM) is an emerging technology that employs thousands of optical foci to provide wide-field high-resolution images of tissue optical absorption. A major limitation of PACM is the slow imaging speed, limiting its usage in dynamic imaging. In this study, we improved the speed through a two-step approach. First, we employed compressed sensing with partially known support to reduce the transducer element number, which subsequently improved the imaging speed at each optical scanning step. Second, we use the high-speed low-resolution image acquired without microlens array to inform dynamic changes in the high-resolution PACM image. Combining both approaches, we achieved high-resolution dynamic imaging over a wide field.

Indexed as

Computer SimulationAlgorithmsData CompressionImage Processing, Computer-AssistedMicroscopyOptical ImagingPerfusionPhotoacoustic TechniquesSignal-To-Noise Ratio

Identifiers

PMID27168282
PMCPMC4877034
OpenAlexW2343469056

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.