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

Cellular Injury IV: Necrosis01:16

Cellular Injury IV: Necrosis

Necrosis is a form of irreversible cell death caused by severe injury such as ischemia, toxins, or trauma. Unlike programmed cell death, it is an uncontrolled, pathological process that typically provokes inflammation in surrounding tissues.Pathophysiologic ChangesNecrosis begins when cells sustain critical damage, leading to swelling of organelles, particularly mitochondria, and rapid ATP depletion. As energy levels decline, membrane ion pumps fail, leading to calcium influx and eventually,...
Overview of Cell Death01:30

Overview of Cell Death

Cell death is an essential process where the body gets rid of old or damaged cells. Cell proliferation and death need to be balanced, as an imbalance between the two may lead to cancer or autoimmune diseases.
Cell death was observed in the early 19th century, but there was no experimental evidence to prove it. In 1842, Carl Vogt first discovered cell death in a metamorphic toad; however, it was not termed ‘cell death.’ Scientists discovered different cell death pathways only in the 20th century...
Cellular Injury IlI: Cellular Death01:11

Cellular Injury IlI: Cellular Death

Cell death is the irreversible loss of cellular structure and function, representing the final stage of severe injury. It plays a key role in both normal physiology and disease.Types of Cell DeathThe two main types are necrosis and apoptosis, though others like necroptosis and pyroptosis also exist.Necrosis:Necrosis is an unregulated form of cell death caused by severe injury such as trauma, toxins, or ischemia. It is characterized by cell swelling, membrane loss, rupture, and leakage of...

You might also read

Related Articles

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

Sort by
Same author

Pressure-activated disassembly of cryoprotectant supramolecules in isochoric freezing.

Cryobiology·2026
Same author

Thermodynamic analysis of a partial freezing organ preservation protocol.

Cryobiology·2026
Same author

Label-free DNA-sensor modelling based on magnetic induction spectroscopy.

BioTechniques·2026
Same author

The effect of vibration and acceleration on the stability of isochoric (constant volume) supercooled aqueous systems.

Medical engineering & physics·2026
Same author

Coaxial temperature controlled cryoprinting: A biomimetic technology inspired by the freezing survival mechanisms of the frog Ranasylvatica.

Cryobiology·2025
Same author

Cloud-Based Personalized sEMG Classification Using Lightweight CNNs for Long-Term Haptic Communication in Deaf-Blind Individuals.

Bioengineering (Basel, Switzerland)·2025

Related Experiment Video

Updated: Jun 15, 2026

High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds
08:23

High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds

Published on: August 19, 2025

A statistical model for multidimensional irreversible electroporation cell death in tissue.

Alex Golberg1, Boris Rubinsky

  • 1Center for Bioengineering in the Service of Humanity and Society, School of Computer Science and Engineering, Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel.

Biomedical Engineering Online
|March 2, 2010
PubMed
Summary

This study introduces a new statistical model for irreversible electroporation (IRE) cancer treatment planning. The Peleg-Fermi model improves accuracy by accounting for tissue heterogeneity, unlike older deterministic methods.

More Related Videos

Studying Cell Death Initiation Using a Digital Microscope
06:06

Studying Cell Death Initiation Using a Digital Microscope

Published on: November 10, 2023

Porous Substrate-Based Electroporation with Transepithelial Electrical Impedance Monitoring
08:06

Porous Substrate-Based Electroporation with Transepithelial Electrical Impedance Monitoring

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Jun 15, 2026

High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds
08:23

High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds

Published on: August 19, 2025

Studying Cell Death Initiation Using a Digital Microscope
06:06

Studying Cell Death Initiation Using a Digital Microscope

Published on: November 10, 2023

Porous Substrate-Based Electroporation with Transepithelial Electrical Impedance Monitoring
08:06

Porous Substrate-Based Electroporation with Transepithelial Electrical Impedance Monitoring

Published on: September 27, 2024

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Oncology

Background:

  • Irreversible electroporation (IRE) is a minimally invasive cancer ablation technique using electric pulses.
  • Current IRE treatment planning relies on simplified deterministic models for cell death.
  • Tissue heterogeneity in cancer requires more sophisticated modeling for accurate ablation.

Purpose of the Study:

  • To introduce a novel statistical methodology for evaluating IRE-induced cell death.
  • To enhance the accuracy of mathematical modeling for IRE treatment planning.
  • To address the limitations of deterministic models in heterogeneous tissues.

Main Methods:

  • Employed a statistical Peleg-Fermi model to correlate cell death probability with IRE pulse parameters.
  • Combined the Peleg-Fermi model with numerical solutions of the electric field equation.
  • Utilized a dimensionless form for the electric field equation for multidimensional analysis.

Main Results:

  • Demonstrated the methodology using prostate cancer cell death data from literature.
  • Fitted data to a Fermi function to determine critical statistical parameters.
  • Generated 2-D maps of cell death distribution, highlighting differences from deterministic models.

Conclusions:

  • Introduced a new statistical modeling approach for IRE tissue ablation.
  • The statistical model offers improved accuracy for IRE cancer treatment planning compared to deterministic models.