Evidence map›Paper›PMID 30460124›Full record

ArticleBiomedical optics express2018

Standard-unit measurement of cellular viability using dynamic light scattering optical coherence microscopy.

Julia S Lee, Kyungsik Eom, Collin Polucha, Jonghwan Lee

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Imaging Retinal Ganglion Cell Death and Dysfunction in Glaucoma.International ophthalmology clinics · 2019
    Review
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 1 country.

Julia S LeeCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.
Kyungsik EomCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.
Collin PoluchaCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.
Jonghwan LeeCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.
Brown University · USAllen Institute for Brain Science · US

Funding

Microscopic imaging of neuro-capillary coupling in brain cortexR00EB014879 · NIBIB · BROWN UNIVERSITY · PI LEE, JONGHWAN · 2016 to 2018
$742k
NIBIB NIH HHS R00 EB014879
6 · The paper itself

Abstract

Dynamic light scattering optical coherence microscopy (DLS-OCM) integrates DLS, which measures diffusion or flow of particles by analyzing fluctuations in light scattered by the particles, and OCM, which achieves single-cell resolution by combining coherence and confocal gating, integratively enabling cellular-resolution 3D mapping of the diffusion coefficient, and flow velocity. The diffusion coefficient mapping has a potential for the non-destructive measurement of cellular viability in the standard unit but has not been validated yet. Here, we present DLS-OCM imaging of intra-cellular motility (ICM) as a surrogate of cellular viability. For this purpose, we have simultaneously obtained and compared ICM-contrast DLS-OCM images and calcium fluorescence-contrast images of retinal ganglion cells, and then characterized the responses of the measured ICM to a change in cellular viability induced by environmental conditions such as temperature and pH. The diffusion-coefficient-represented ICM exhibits consistent changes with the manipulated cellular viability.

Identifiers

PMID30460124
PMCPMC6238897
OpenAlexW2895129391

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.