Evidence map›Paper›PMID 32133223›Full record

ArticleBiomedical optics express2020

Tissue imaging depth limit of stimulated Raman scattering microscopy.

Andrew H Hill, Bryce Manifold, Dan Fu

Abstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Normalized Raman Imaging for Studies of Tissue Physiology of the Kidney.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. The sound of blood: photoacoustic imaging in blood analysis.Medicine in novel technology and devices · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Quantitative Stimulated Raman Scattering Microscopy: Promises and Pitfalls.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    Review
  19. Protein and lipid mass concentration measurement in tissues by stimulated Raman scattering microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors.

Andrew H HillDepartment of Chemistry, University of Washington, Seattle, Washington 98195, USA.ORCID https://orcid.org/0000-0002-0527-0670
Bryce ManifoldDepartment of Chemistry, University of Washington, Seattle, Washington 98195, USA.
Dan FuDepartment of Chemistry, University of Washington, Seattle, Washington 98195, USA.

Funding

Non-perturbative imaging of intracellular drug exposure and drug response of kinase inhibitors - Admin SuppR35GM133435 · NIGMS · UNIVERSITY OF WASHINGTON · PI Dan Fu · 2019 to 2026
$2.8M
NIGMS NIH HHS R35 GM133435
6 · The paper itself

Abstract

Stimulated Raman scattering (SRS) microscopy is a promising technique for studying tissue structure, physiology, and function. Similar to other nonlinear optical imaging techniques, SRS is severely limited in imaging depth due to the turbidity and heterogeneity of tissue, regardless of whether imaging in the transmissive or epi mode. While this challenge is well known, important imaging parameters (namely maximum imaging depth and imaging signal to noise ratio) have rarely been reported in the literature. It is also important to compare epi mode and transmissive mode imaging to determine the best geometry for many tissue imaging applications. In this manuscript we report the achievable signal sizes and imaging depths using a simultaneous epi/transmissive imaging approach in four different murine tissues; brain, lung, kidney, and liver. For all four cases we report maximum signal sizes, scattering lengths, and achievable imaging depths as a function of tissue type and sample thickness. We report that for murine brain samples thinner than 2 mm transmissive imaging provides better results, while samples 2 mm and thicker are best imaged with epi imaging. We also demonstrate the use of a CNN-based denoising algorithm to yield a 40 µm (24%) increase in achievable imaging depth.

Identifiers

PMID32133223
PMCPMC7041472

What OpenQuestion holds

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Registered trials

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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.