Evidence map›Paper›PMID 21639573›Full record

ArticleJournal of biomedical optics2011

Real-time snapshot hyperspectral imaging endoscope.

Robert T Kester, Noah Bedard, Liang Gao, Tomasz S Tkaczyk

Abstract readEvaluation Study
In one paragraph

Article in Journal of biomedical optics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. LED-based, real-time, hyperspectral imaging device.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Review of Pharmaceutical Robot based on Hyperspectral Technology.Journal of intelligent & robotic systems · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article

5 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

4 authors.

Robert T KesterDepartment of Bioengineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA.
Noah Bedard
Liang Gao
Tomasz S Tkaczyk

Funding

Integrated Bi-FOV Endoscope for Detection of PrecancerR01CA124319 · NCI · RICE UNIVERSITY · PI TKACZYK, TOMASZ S · 2007 to 2011
$1.5M
Image Slicing Spectrometer (ISS) for high resolution sub-cellular microscopyR21EB009186 · NIBIB · RICE UNIVERSITY · PI TKACZYK, TOMASZ S · 2008 to 2009
$383k
NCI NIH HHS R01 CA124319NIBIB NIH HHS R21 EB009186NIBIB NIH HHS R21EB009186
6 · The paper itself

Abstract

Hyperspectral imaging has tremendous potential to detect important molecular biomarkers of early cancer based on their unique spectral signatures. Several drawbacks have limited its use for in vivo screening applications: most notably the poor temporal and spatial resolution, high expense, and low optical throughput of existing hyperspectral imagers. We present the development of a new real-time hyperspectral endoscope (called the image mapping spectroscopy endoscope) based on an image mapping technique capable of addressing these challenges. The parallel high throughput nature of this technique enables the device to operate at frame rates of 5.2 frames per second while collecting a (x, y, λ) datacube of 350 × 350 × 48. We have successfully imaged tissue in vivo, resolving a vasculature pattern of the lower lip while simultaneously detecting oxy-hemoglobin.

Indexed as

EndoscopesComputer SystemsEquipment DesignEquipment Failure AnalysisFiber Optic TechnologyHumansLipRefractometrySpectrum Analysis

Identifiers

PMID21639573
PMCPMC3107836

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.