Evidence map›Paper›PMID 28875184›Full record

ReviewThe Analyst2017

Applications of vibrational tags in biological imaging by Raman microscopy.

Zhilun Zhao, Yihui Shen, Fanghao Hu, Wei Min

Abstract readReview
In one paragraph

Review in The Analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Raman imaging of molecular groups in the wavenumber silent region.Analytical and bioanalytical chemistry · 2026
    Review
  4. Article
  5. Lipid probes to study ion channels.Current opinion in chemical biology · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases.International journal of molecular sciences · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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.

Zhilun ZhaoDepartment of Chemistry, Columbia University, New York, 10027, USA. wm2256@columbia.edu.
Yihui Shen
Fanghao Hu
Wei Min

Funding

Label-Free Chemical Imaging for Biological ApplicationsDP2EB016573 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2012 to 2012
$2.4M
Optical imaging of small bio-molecules in living cells and tissues by nonlinear Raman microscopy coupled with vibrational tagsR01EB020892 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2015 to 2018
$1.3M
NIBIB NIH HHS DP2 EB016573NIBIB NIH HHS R01 EB020892
6 · The paper itself

Abstract

As a superb tool to visualize and study the spatial-temporal distribution of chemicals, Raman microscopy has made a big impact in many disciplines of science. While label-free imaging has been the prevailing strategy in Raman microscopy, recent development and applications of vibrational/Raman tags, particularly when coupled with stimulated Raman scattering (SRS) microscopy, have generated intense excitement in biomedical imaging. SRS imaging of vibrational tags has enabled researchers to study a wide range of small biomolecules with high specificity, sensitivity and multiplex capability, at a single live cell level, tissue level or even in vivo. As reviewed in this article, this platform has facilitated imaging distribution and dynamics of small molecules such as glucose, lipids, amino acids, nucleic acids, and drugs that are otherwise difficult to monitor with other means. As both the vibrational tags and Raman instrumental development progress rapidly and synergistically, we anticipate that this technique will shed light onto an even broader spectrum of biomedical problems.

Identifiers

PMID28875184
PMCPMC5674523

What OpenQuestion holds

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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.