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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

You might also read

Related Articles

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

Sort by
Same author

High-speed wide-field fluorescence lifetime imaging for intraoperative tumor visualization and in vivo multiplexing.

Biomedical optics express·2025
Same author

Investigating the mechanisms of indocyanine green tumour uptake in sarcoma cell lines and ex vivo human tissue.

The Journal of pathology·2025
Same author

Intraoperative Supine Breast MRI for Residual Tumor Assessment after Breast-Conserving Therapy in Early-Stage Breast Cancer.

Radiology. Imaging cancer·2025
Same author

Fluorescence Lifetime Imaging Enables In Vivo Quantification of PD-L1 Expression and Intertumoral Heterogeneity.

Cancer research·2024
Same author

Tunable dynamical tissue phantom for laser speckle imaging.

Biomedical optics express·2024
Same author

<i>In vivo</i> quantification of programmed death-ligand-1 expression heterogeneity in tumors using fluorescence lifetime imaging.

Research square·2023
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

Visualizing Intracellular SNARE Trafficking by Fluorescence Lifetime Imaging Microscopy
08:55

Visualizing Intracellular SNARE Trafficking by Fluorescence Lifetime Imaging Microscopy

Published on: December 29, 2017

Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging.

Murali Krishnamoorthy1, Haoyin Zhou2, Katherine Frazee1

  • 1Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear Hospital, Harvard Medical School, Boston, MA, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces FLT-SLAM, a new algorithm for faster and more accurate fluorescence lifetime (FLT) imaging. It improves tumor detection by correcting depth-related errors in real-time surgical visualization.

Keywords:
Fluorescence lifetime imagingSLAMdepth correctionintuitive visualization

More Related Videos

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
09:45

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

Production and Multi-Parameter Live Cell Fluorescence Lifetime Imaging Microscopy (FLIM) of Multicellular Spheroids
08:43

Production and Multi-Parameter Live Cell Fluorescence Lifetime Imaging Microscopy (FLIM) of Multicellular Spheroids

Published on: August 9, 2024

Related Experiment Videos

Last Updated: May 28, 2026

Visualizing Intracellular SNARE Trafficking by Fluorescence Lifetime Imaging Microscopy
08:55

Visualizing Intracellular SNARE Trafficking by Fluorescence Lifetime Imaging Microscopy

Published on: December 29, 2017

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
09:45

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

Production and Multi-Parameter Live Cell Fluorescence Lifetime Imaging Microscopy (FLIM) of Multicellular Spheroids
08:43

Production and Multi-Parameter Live Cell Fluorescence Lifetime Imaging Microscopy (FLIM) of Multicellular Spheroids

Published on: August 9, 2024

Area of Science:

  • Medical Imaging
  • Biophotonics
  • Surgical Technology

Background:

  • Fluorescence lifetime (FLT) imaging accurately distinguishes tumors from normal tissue.
  • Current FLT imaging faces limitations due to slow acquisition and depth-dependent errors.

Purpose of the Study:

  • To introduce FLT-SLAM, a novel algorithm for real-time, depth-corrected FLT estimation and 3D surface reconstruction.
  • To overcome the speed and accuracy limitations of conventional FLT imaging for surgical applications.

Main Methods:

  • FLT-SLAM combines rapid FLT imaging with simultaneous localization and mapping (SLAM).
  • A stereo laparoscope provides real-time depth information for accuracy correction.
  • FLT maps are overlaid onto SLAM-generated 3D surface models for enhanced visualization.

Main Results:

  • The FLT-SLAM algorithm achieves acquisition speeds exceeding 5 Hz.
  • It significantly improves FLT estimation accuracy, reducing errors by nearly 20%.
  • Real-time 3D surface reconstruction and depth-corrected FLT estimation were demonstrated.

Conclusions:

  • FLT-SLAM enhances real-time FLT imaging for surgical applications by providing depth-corrected, accurate, and rapidly acquired data.
  • The algorithm improves visualization and spatial awareness during surgery.
  • FLT-SLAM shows significant potential for improving intraoperative tumor margin assessment.