Evidence map›Paper›PMID 33014606›Full record

ArticleBiomedical optics express2020

FLImBrush: dynamic visualization of intraoperative free-hand fiber-based fluorescence lifetime imaging.

Mark Marsden, Takanori Fukazawa, Yu-Cheng Deng, Brent W Weyers, Julien Bec, D Gregory Farwell, Laura Marcu

Open access · goldAbstract 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 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Qualitative and quantitative assessment ofBiomedical optics express · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  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 at 4 institutions in 4 countries.

Mark MarsdenDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.ORCID https://orcid.org/0000-0002-8480-9653
Takanori FukazawaDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Yu-Cheng DengDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Brent W WeyersDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Julien BecDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.ORCID https://orcid.org/0000-0003-1222-4071
D Gregory FarwellDepartment of Otolaryngology, University of California, Davis, CA 95817, USA.
Laura MarcuDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
University of California, Davis · USSony (Taiwan) · TWUkrainian Catholic University · UAUniversidad Champagnat · AR

Funding

Fluorescence Lifetime Imaging/Spectroscopy System For Robotic Cancer Surgery GuidanceR01CA187427 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, MARCU, LAURA · 2014 to 2025
$4.6M
NCI NIH HHS R01 CA187427
6 · The paper itself

Abstract

A free-hand scanning approach to medical imaging allows for flexible, lightweight probes to image intricate anatomies for modalities such as fluorescence lifetime imaging (FLIm), optical coherence tomography (OCT) and ultrasound. While very promising, this approach faces several key challenges including tissue motion during imaging, varying lighting conditions in the surgical field, and sparse sampling of the tissue surface. These challenges limit the coregistration accuracy and interpretability of the acquired imaging data. Here we report FLImBrush as a robust method for the localization and visualization of intraoperative free-hand fiber optic fluorescence lifetime imaging (FLIm). FLImBrush builds upon an existing method while employing deep learning-based image segmentation, block-matching based motion correction, and interpolation-based visualization to address the aforementioned challenges. Current results demonstrate that FLImBrush can provide accurate localization of FLIm point-measurements while producing interpretable and complete visualizations of FLIm data acquired from a tissue surface. Each of the main processing steps was shown to be capable of real-time processing (> 30 frames per second), highlighting the feasibility of FLImBrush for intraoperative imaging and surgical guidance. Current findings show the feasibility of integrating FLImBrush into a range of surgical applications including cancer margins assessment during head and neck surgery.

Identifiers

PMID33014606
PMCPMC7510860
OpenAlexW3048474223

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.