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

Tartrazine-enhanced visible-light OCT for deep-tissue imaging.

Biomedical optics express·2026
Same author

SON-dependent nuclear speckle rehabilitation alleviates proteinopathies.

Nature communications·2025
Same author

BreakNet: discontinuity-resilient multi-scale transformer segmentation of retinal layers.

Biomedical optics express·2024
Same author

Volumetrically tracking retinal and choroidal structural changes in central serous chorioretinopathy.

Biomedical optics express·2023
Same author

Volumetrically tracking retinal and choroidal structural changes in central serous chorioretinopathy.

bioRxiv : the preprint server for biology·2023
Same author

Volume-based, layer-independent, disease-agnostic detection of abnormal retinal reflectivity, nonperfusion, and neovascularization using structural and angiographic OCT.

Biomedical optics express·2022

Related Experiment Video

Updated: Jun 24, 2025

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
08:50

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

Published on: February 9, 2019

7.7K

Deep learning based characterization of human organoids using optical coherence tomography.

Bingjie Wang1, Razieh Ganjee1, Irona Khandaker1

  • 1Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Biomedical Optics Express
|June 10, 2024
PubMed
Summary

Optical coherence tomography (OCT) and deep learning enable non-invasive, live imaging and analysis of organoids. This quantitative approach offers new insights into organoid development and classification.

More Related Videos

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids
10:40

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Published on: June 5, 2020

16.2K
A High-Throughput Platform for Culture and 3D Imaging of Organoids
07:42

A High-Throughput Platform for Culture and 3D Imaging of Organoids

Published on: October 14, 2022

2.6K

Related Experiment Videos

Last Updated: Jun 24, 2025

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
08:50

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

Published on: February 9, 2019

7.7K
Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids
10:40

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Published on: June 5, 2020

16.2K
A High-Throughput Platform for Culture and 3D Imaging of Organoids
07:42

A High-Throughput Platform for Culture and 3D Imaging of Organoids

Published on: October 14, 2022

2.6K

Area of Science:

  • Biomedical Engineering
  • Stem Cell Biology
  • Regenerative Medicine

Background:

  • Organoids derived from human induced pluripotent stem cells (hiPSCs) model organ development but are challenging to analyze.
  • Traditional histological methods are static and destructive, limiting the study of dynamic organoid processes.

Purpose of the Study:

  • To develop a non-invasive imaging and analysis platform for human induced pluripotent stem cell-derived organoids (hiPSC-organoids).
  • To quantitatively assess organoid morphology, internal structures, and function using optical coherence tomography (OCT) and deep learning.

Main Methods:

  • Utilized optical coherence tomography (OCT) for rapid, non-invasive imaging of retinal, cerebral, and cardiac organoids.
  • Developed a deep learning model for automated segmentation of organoid tissues and internal structures.
  • Quantitatively analyzed organoid size, area, volume, and cardiac beating for live characterization.

Main Results:

  • Successfully demonstrated quantitative, non-invasive live imaging and characterization of hiPSC-organoids.
  • Automated segmentation accurately identified key organoid structures and features.
  • Enabled comprehensive assessment of organoid development and function, including cardiac beating.

Conclusions:

  • Quantitative OCT imaging combined with deep learning provides a powerful, non-invasive tool for organoid research.
  • This approach offers profound insights into organoid differentiation and development.
  • Positions OCT as a transformative technology for advancing organoid studies and applications.