Evidence map›Paper›PMID 26202216›Full record

ArticleScientific reports2015

Highly sensitive transient absorption imaging of graphene and graphene oxide in living cells and circulating blood.

Junjie Li, Weixia Zhang, Ting-Fung Chung, Mikhail N Slipchenko, Yong P Chen, Ji-Xin Cheng, Chen Yang

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Leaving the Limits of Linearity for Light Microscopy.The journal of physical chemistry. C, Nanomaterials and interfaces · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Invited Review Article: Pump-probe microscopy.The Review of scientific instruments · 2016
    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

7 authors.

Junjie LiPurdue University Interdisciplinary Life Sciences Program (PULSe), Purdue University, West Lafayette, Indiana, 47907, USA.
Weixia ZhangDepartment of Chemistry, Purdue University, West Lafayette, Indiana, 47907, USA.
Ting-Fung ChungDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana, 47907, USA.
Mikhail N SlipchenkoWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, 47907, USA.
Yong P Chen1] Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana, 47907, USA [2] Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana, 47907, USA.
Ji-Xin ChengWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, 47907, USA.
Chen Yang1] Department of Chemistry, Purdue University, West Lafayette, Indiana, 47907, USA [2] Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana, 47907, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a transient absorption (TA) imaging method for fast visualization and quantitative layer analysis of graphene and GO. Forward and backward imaging of graphene on various substrates under ambient condition was imaged with a speed of 2 μs per pixel. The TA intensity linearly increased with the layer number of graphene. Real-time TA imaging of GO in vitro with capability of quantitative analysis of intracellular concentration and ex vivo in circulating blood were demonstrated. These results suggest that TA microscopy is a valid tool for the study of graphene based materials.

Indexed as

AnimalsComputer SystemsGraphiteImage EnhancementMicroscopyMolecular ImagingOxidesRatsRats, Long-EvansReproducibility of ResultsSensitivity and SpecificityGraphiteOxides

Identifiers

PMID26202216
PMCPMC5378876

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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.