Evidence map›Paper›PMID 24615671›Full record

ArticleJournal of biomedical optics2014

Biological imaging with coherent Raman scattering microscopy: a tutorial.

Alba Alfonso-García, Richa Mittal, Eun Seong Lee, Eric O Potma

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Advances in stimulated Raman scattering imaging for tissues and animals.Quantitative imaging in medicine and surgery · 2021
    Review
  8. Article
  9. Rise of Raman spectroscopy in neurosurgery: a review.Journal of biomedical optics · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Invited Review Article: Pump-probe microscopy.The Review of scientific instruments · 2016
    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

4 authors.

Alba Alfonso-GarcíaUniversity of California, Beckman Laser Institute, Irvine, California 92697.
Richa MittalUniversity of California, Beckman Laser Institute, Irvine, California 92697.
Eun Seong LeeCenter for Nano-Bio Technology, Division of Convergence Technology, Korea Research Institute of Standards and Science, 1 Doryong-Dong, Yuseong-Gu, Daejeon 305-340, Republic of Korea.
Eric O PotmaUniversity of California, Beckman Laser Institute, Irvine, California 92697.

Funding

WOUND MIGRATION FORCE MONITORINGP41RR001192 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI LYUBOVITSKY, JULIA · 1985 to 2011
$14.2M
Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2012 to 2017
$7.0M
NCRR NIH HHS P41 RR001192NCRR NIH HHS P41-RR01192
6 · The paper itself

Abstract

Coherent Raman scattering (CRS) microscopy is gaining acceptance as a valuable addition to the imaging toolset of biological researchers. Optimal use of this label-free imaging technique benefits from a basic understanding of the physical principles and technical merits of the CRS microscope. This tutorial offers qualitative explanations of the principles behind CRS microscopy and provides information about the applicability of this nonlinear optical imaging approach for biological research.

Indexed as

AnimalsEquipment DesignHumansImage Processing, Computer-AssistedLasersLightMeibomian GlandsMiceMicroscopyMicroscopy, FluorescenceOptics and PhotonicsPhotonsScattering, RadiationSpectrum Analysis, RamanVibration

Identifiers

PMID24615671
PMCPMC4019423

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.