Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-speed optical tracking and augmented reality platform for image-guided interventions.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Age-associated oncocytic transformation correlates with an increased prevalence of small multiple Biondi body inclusions in human choroid plexus epithelial cells.

bioRxiv : the preprint server for biology·2026
Same author

Alzheimer's disease associations with increased Biondi body amyloid in hippocampal-associated choroid plexus epithelial cells and ependymal cells.

bioRxiv : the preprint server for biology·2026
Same author

Inducible lipid storage and steatosis in the human choroid plexus associated with age and adiposity.

bioRxiv : the preprint server for biology·2026
Same author

Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study.

AJNR. American journal of neuroradiology·2026
Same author

Polarized hyperspectral and polarized light microscopic imaging for enhanced visualization of white blood cells.

Journal of biomedical optics·2026
Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2025

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.5K

A dual-camera hyperspectral laparoscopic imaging system.

Kelden Pruitt1,2, Armand Rathgeb1,2, Jeffrey C Gahan3

  • 1Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.

Proceedings of Spie--The International Society for Optical Engineering
|May 6, 2024
PubMed
Summary
This summary is machine-generated.

A new dual-camera hyperspectral imaging system enhances laparoscopic surgery by providing detailed spectral data for improved tissue visualization. This advanced imaging technology aims to reduce complications in minimally invasive procedures.

Keywords:
Hyperspectral imagingimage-guided interventionlaparoscopyminimally invasive surgery

More Related Videos

Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
06:37

Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology

Published on: October 20, 2010

23.3K
Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
10:30

Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion

Published on: September 4, 2013

9.6K

Related Experiment Videos

Last Updated: Jun 27, 2025

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.5K
Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
06:37

Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology

Published on: October 20, 2010

23.3K
Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
10:30

Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion

Published on: September 4, 2013

9.6K

Area of Science:

  • Surgical Technology
  • Medical Imaging
  • Optical Engineering

Background:

  • Minimally invasive surgery (MIS) faces challenges like iatrogenic injury and positive tumor margins.
  • Current fluorescence imaging agents (e.g., indocyanine green) have limitations in laparoscopic surgery.
  • Hyperspectral imaging (HSI) offers advanced tissue characterization based on spectral properties.

Purpose of the Study:

  • To develop and characterize a high-speed, dual-camera hyperspectral imaging system for laparoscopic applications.
  • To evaluate the system's spectral accuracy, spatial resolution, and speed.
  • To assess the system's performance in imaging ex vivo tissues.

Main Methods:

  • Developed a custom dual-camera system for high-speed hyperspectral imaging (460-850 nm).
  • Integrated a custom application interface and hardware setup.
  • Performed system characterization using reference color tiles and ex vivo tissues (porcine organs).

Main Results:

  • The system acquired 29 spectral images with minimal speed sacrifice.
  • Achieved a Root Mean Square Error (RMSE) of 3.56 ± 1.36% for reference tiles.
  • Demonstrated sub-millimeter resolution at a 7 cm working distance and validated spectral fidelity with ex vivo tissues.

Conclusions:

  • The developed dual-camera hyperspectral laparoscopic imaging system offers enhanced visualization capabilities.
  • This technology has the potential to improve surgical outcomes and reduce complications in MIS.
  • Immediate applications in various surgical procedures are anticipated.