Evidence map›Paper›PMID 35396506›Full record

ArticleLight, science & applications2022

Real-time molecular imaging of near-surface tissue using Raman spectroscopy.

Wei Yang, Florian Knorr, Ines Latka, Matthias Vogt, Gunther O Hofmann, Jürgen Popp, Iwan W Schie

Open access · goldAbstract read
In one paragraph

Article in Light, science & applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
15.3field-weighted citation impact, top 1% of its field
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

10 citing papers in PubMed, 58 citations in OpenAlex.

  1. Unipolar Barrier Near-Infrared 2D Photodetectors for 3D Image Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  9. Review
  10. 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 at 3 institutions in 1 country.

Wei YangLeibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany.
Florian KnorrLeibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany.
Ines LatkaLeibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany.
Matthias VogtDepartment of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany.
Gunther O HofmannDepartment of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany.
Jürgen PoppLeibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany.
Iwan W SchieLeibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany. iwan.schie@leibniz-ipht.de.
Leibniz Institute of Photonic Technology · DEJena University Hospital · DEFriedrich Schiller University Jena · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The steady progress in medical diagnosis and treatment of diseases largely hinges on the steady development and improvement of modern imaging modalities. Raman spectroscopy has attracted increasing attention for clinical applications as it is label-free, non-invasive, and delivers molecular fingerprinting information of a sample. In combination with fiber optic probes, it also allows easy access to different body parts of a patient. However, image acquisition with fiber optic probes is currently not possible. Here, we introduce a fiber optic probe-based Raman imaging system for the real-time molecular virtual reality data visualization of chemical boundaries on a computer screen and the physical world. The approach is developed around a computer vision-based positional tracking system in conjunction with photometric stereo and augmented and mixed chemical reality, enabling molecular imaging and direct visualization of molecular boundaries of three-dimensional surfaces. The proposed approach achieves a spatial resolution of 0.5 mm in the transverse plane and a topology resolution of 0.6 mm, with a spectral sampling frequency of 10 Hz, and can be used to image large tissue areas in a few minutes, making it highly suitable for clinical tissue-boundary demarcation. A variety of applications on biological samples, i.e., distribution of pharmaceutical compounds, brain-tumor phantom, and various types of sarcoma have been characterized, showing that the system enables rapid and intuitive assessment of molecular boundaries.

Identifiers

PMID35396506
PMCPMC8993924
OpenAlexW4223427401

What OpenQuestion holds

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LicenceCC BY
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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.