Evidence map›Paper›PMID 31471618›Full record

ReviewNature methods2019

Biological imaging of chemical bonds by stimulated Raman scattering microscopy.

Fanghao Hu, Lixue Shi, Wei Min

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

147 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Single-Cell Metabolic Imaging Reveals Glycogen-Driven Adaptations in Endothelial Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  15. GFP-free live neuron quantitative imaging reveals compartmentalization and growth dynamics of polyQ aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Bond-Selective Imaging at the Frontier of Biomedicine.Chemical & biomedical imaging · 2025
    Article

87 more citing papers are in PubMed but not listed here.

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

3 authors.

Fanghao Hu *Department of Chemistry, Columbia University, New York, NY, USA.
Lixue Shi *Department of Chemistry, Columbia University, New York, NY, USA.
Wei MinDepartment of Chemistry, Columbia University, New York, NY, USA. wm2256@columbia.edu.

Funding

UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAFERLA, FRANK M · 2000 to 2019
$37.0M
Super-multiplex vibrational imaging in living cellsR01GM128214 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2018 to 2021
$1.5M
6 · The paper itself

Abstract

All molecules consist of chemical bonds, and much can be learned from mapping the spatiotemporal dynamics of these bonds. Since its invention a decade ago, stimulated Raman scattering (SRS) microscopy has become a powerful modality for imaging chemical bonds with high sensitivity, resolution, speed and specificity. We introduce the fundamentals of SRS microscopy and review innovations in SRS microscopes and imaging probes. We highlight examples of exciting biological applications, and share our vision for potential future breakthroughs for this technology.

Indexed as

AnimalsHumansMacromolecular SubstancesMolecular ImagingNonlinear Optical MicroscopyMacromolecular Substances

Identifiers

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.