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

S-phase targeted treatment triggers caspase-dependent lytic immunogenic cell death with pyroptotic features in cancers.

Cell death and differentiation·2026
Same author

A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data.

PLoS computational biology·2026
Same author

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours.

PloS one·2026
Same author

Using targeted therapy to promote a pro-inflammatory tumour microenvironment and anti-tumour immune response in high grade serous ovarian cancer.

British journal of cancer·2026
Same author

The Emerging Melanoma Management: Historical Perspective to Future Directions.

Cancers·2026
Same author

A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models.

Journal of the Royal Society, Interface·2026

Related Experiment Video

Updated: Oct 11, 2025

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
08:39

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

Published on: July 8, 2014

25.5K

Quantitative analysis of tumour spheroid structure.

Alexander P Browning1,2, Jesse A Sharp1,2, Ryan J Murphy1

  • 1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.

Elife
|November 29, 2021
PubMed
Summary

Tumour spheroids, models of avascular tumor growth, reach similar sizes regardless of initial cell number. This suggests a limiting structure for tumors, independent of seeding density.

Keywords:
FUCCIcancer biologycomputational biologydiffusionhumaninferencesteady-statesystems biologytumour spheroiduncertainty quantification

More Related Videos

A 3D Spheroid Model as a More Physiological System for Cancer-Associated Fibroblasts Differentiation and Invasion In Vitro Studies
06:27

A 3D Spheroid Model as a More Physiological System for Cancer-Associated Fibroblasts Differentiation and Invasion In Vitro Studies

Published on: August 8, 2019

9.1K
A 3D Spheroid Model for Glioblastoma
07:40

A 3D Spheroid Model for Glioblastoma

Published on: April 9, 2020

15.5K

Related Experiment Videos

Last Updated: Oct 11, 2025

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
08:39

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

Published on: July 8, 2014

25.5K
A 3D Spheroid Model as a More Physiological System for Cancer-Associated Fibroblasts Differentiation and Invasion In Vitro Studies
06:27

A 3D Spheroid Model as a More Physiological System for Cancer-Associated Fibroblasts Differentiation and Invasion In Vitro Studies

Published on: August 8, 2019

9.1K
A 3D Spheroid Model for Glioblastoma
07:40

A 3D Spheroid Model for Glioblastoma

Published on: April 9, 2020

15.5K

Area of Science:

  • Oncology
  • Biophysics
  • Mathematical Biology

Background:

  • Tumour spheroids are in vitro models simulating avascular tumor growth.
  • They mimic the tumor microenvironment's nutrient gradients better than 2D cultures.
  • Spatial nutrient differences significantly impact tumor growth.

Purpose of the Study:

  • To investigate the limiting structure of tumour spheroids.
  • To develop a mathematical framework for analyzing spheroid structure.
  • To compare spheroid structure analysis with traditional size-based methods.

Main Methods:

  • Utilized tumour spheroids with varying initial cell numbers.
  • Developed a novel mathematical and statistical framework.
  • Employed fluorescent cell cycle indicators to distinguish cycling and arrested cells.
  • Analyzed spheroid structure as a function of overall size.

Main Results:

  • Spheroids initiated with different cell numbers reached similar limiting sizes.
  • Transient spheroid structure was independent of initial spheroid size.
  • Limiting spheroid structure was independent of seeding density.
  • Identified an arrested cell region within spheroids.

Conclusions:

  • Avascular tumors exhibit a limiting structure, supporting mathematical models.
  • Analyzing spheroid structure by size is robust to variability, unlike time-based comparisons.
  • The developed framework is applicable across various cell lines and culture conditions.