Evidence map›Paper›PMID 28725020›Full record

ArticleScientific reports2017

Neuronal imaging with ultrahigh dynamic range multiphoton microscopy.

Ruohui Yang, Timothy D Weber, Ellen D Witkowski, Ian G Davison, Jerome Mertz

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
1.8field-weighted citation impact, top 12% 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, 19 citations in OpenAlex.

  1. Article
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  5. High dynamic range fluorescence imaging.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    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

5 authors at 1 institution in 1 country.

Ruohui YangBoston University Department of Biomedical Engineering, 44 Cummington Mall, Boston, MA, 02215, USA.
Timothy D WeberBoston University Department of Biomedical Engineering, 44 Cummington Mall, Boston, MA, 02215, USA.ORCID 0000-0002-9948-0256
Ellen D WitkowskiBoston University Department of Biology, 5 Cummington Mall, Boston, MA, 02215, USA.
Ian G DavisonBoston University Department of Biology, 5 Cummington Mall, Boston, MA, 02215, USA.ORCID 0000-0003-0998-7676
Jerome MertzBoston University Department of Biomedical Engineering, 44 Cummington Mall, Boston, MA, 02215, USA. jmertz@bu.edu.
Boston University · US

Funding

High dynamic range multiphoton microscopy for large-scale imagingR21EY027549 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DAVISON, IAN GORDON, MERTZ, JEROME · 2016 to 2018
$575k
NEI NIH HHS R21 EY027549
6 · The paper itself

Abstract

Multiphoton microscopes are hampered by limited dynamic range, preventing weak sample features from being detected in the presence of strong features, or preventing the capture of unpredictable bursts in sample strength. We present a digital electronic add-on technique that vastly improves the dynamic range of a multiphoton microscope while limiting potential photodamage. The add-on provides real-time negative feedback to regulate the laser power delivered to the sample, and a log representation of the sample strength to accommodate ultrahigh dynamic range without loss of information. No microscope hardware modifications are required, making the technique readily compatible with commercial instruments. Benefits are shown in both structural and in-vivo functional mouse brain imaging applications.

Indexed as

Imaging, Three-DimensionalAnimalsBrainMiceMicroscopy, Fluorescence, MultiphotonNeuronsSignal-To-Noise Ratio

Identifiers

PMID28725020
PMCPMC5517475
OpenAlexW2735442226

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.