Evidence map›Paper›PMID 24127161›Full record

ArticleAngewandte Chemie (International ed. in English)2013

Label-free quantitative imaging of cholesterol in intact tissues by hyperspectral stimulated Raman scattering microscopy.

Ping Wang, Junjie Li, Pu Wang, Chun-Rui Hu, Delong Zhang, Michael Sturek, Ji-Xin Cheng

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Principle of Stimulated Raman Scattering Microscopy: Emerging at High Spatiotemporal Limits.The journal of physical chemistry. C, Nanomaterials and interfaces · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Quantitative Stimulated Raman Scattering Microscopy: Promises and Pitfalls.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

Ping WangWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47906 (USA).
Junjie Li
Pu Wang
Chun-Rui Hu
Delong Zhang
Michael Sturek
Ji-Xin Cheng

Funding

EXERCISE, DIABETES, &CORONARY SMOOTH MUSCLE Ca2+R01HL062552 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI STUREK, MICHAEL · 1999 to 2013
$4.5M
Label-free multichannel spectral cytometry based on stimulated Raman scatteringR21GM104681 · NIGMS · PURDUE UNIVERSITY · PI CHENG, JI-XIN · 2012 to 2014
$571k
Vibrational Photoacoustic Microscopy for Bond-selective Tissue AnalysisR21EB015901 · NIBIB · PURDUE UNIVERSITY · PI CHENG, JI-XIN · 2012 to 2013
$385k
NHLBI NIH HHS R01 HL062552NIBIB NIH HHS R21 EB015901NIBIB NIH HHS R21EB015901NIGMS NIH HHS R21 GM104681NIGMS NIH HHS R21GM104681
6 · The paper itself

Abstract

A finger on the pulse: Current molecular analysis of cells and tissues routinely relies on separation, enrichment, and subsequent measurements by various assays. Now, a platform of hyperspectral stimulated Raman scattering microscopy has been developed for the fast, quantitative, and label-free imaging of biomolecules in intact tissues using spectroscopic fingerprints as the contrast mechanism.

Indexed as

ArteriesAtherosclerosisCholesterolHumansSpectrum Analysis, RamanTissue Array AnalysisCholesterolcholesterollipidsstimulated Raman scatteringtissue analysisvibrational spectroscopy

Identifiers

PMID24127161
PMCPMC3932421

What OpenQuestion holds

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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.