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

Semiconductors01:22

Semiconductors

1.9K
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
1.9K
Microbial Biosensors01:17

Microbial Biosensors

91
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
91

You might also read

Related Articles

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

Sort by
Same author

A contemporary systematic review on deterministic numerical simulations of light propagation in head tissues.

Biophysical reviews·2026
Same author

Ultrasound stimulation increases cartilage synthesis and revert dedifferentiation on human chondrocytes.

Scientific reports·2026
Same author

Near-infrared photobiomodulation stimulates viability and cartilage matrix synthesis in human chondrocytes.

Scientific reports·2025
Same author

Design of a CMOS Current-to-Frequency Converter for Optical pH Sensing in a culture medium: towards integration in organ-on-a-chip device.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Development and validation of a multi-modal customized device to stimulate in vitro cell culture systems.

Journal of photochemistry and photobiology. B, Biology·2025
Same author

A Review of SAW-Based Micro- and Nanoparticle Manipulation in Microfluidics.

Sensors (Basel, Switzerland)·2025

Related Experiment Video

Updated: May 7, 2026

Fabrication and Validation of an Organ-on-chip System with Integrated Electrodes to Directly Quantify Transendothelial Electrical Resistance
10:51

Fabrication and Validation of an Organ-on-chip System with Integrated Electrodes to Directly Quantify Transendothelial Electrical Resistance

Published on: September 26, 2017

16.9K

Transducer Systems Integrated into Organ-on-a-Chip Devices: From Detection to Fabrication.

Gabriel M Ferreira1,2, Patrícia C Sousa2, Susana O Catarino1,3

  • 1Microelectromechanical Systems Research unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, 4800-058, Portugal.

Small (Weinheim an Der Bergstrasse, Germany)
|December 17, 2025
PubMed
Summary

Organ-on-a-chip (OoC) devices offer a promising alternative for drug testing by mimicking human physiology. Integrating various sensors for real-time monitoring of cellular responses remains a key challenge for these advanced microfluidic systems.

Keywords:
integrationmicrofabricationorgan‐on‐a‐chiptransducers

More Related Videos

Scalable Fabrication of Stretchable, Dual Channel, Microfluidic Organ Chips
14:44

Scalable Fabrication of Stretchable, Dual Channel, Microfluidic Organ Chips

Published on: October 20, 2018

27.4K
Generation of a Human iPSC-Based Blood-Brain Barrier Chip
10:20

Generation of a Human iPSC-Based Blood-Brain Barrier Chip

Published on: March 2, 2020

13.4K

Related Experiment Videos

Last Updated: May 7, 2026

Fabrication and Validation of an Organ-on-chip System with Integrated Electrodes to Directly Quantify Transendothelial Electrical Resistance
10:51

Fabrication and Validation of an Organ-on-chip System with Integrated Electrodes to Directly Quantify Transendothelial Electrical Resistance

Published on: September 26, 2017

16.9K
Scalable Fabrication of Stretchable, Dual Channel, Microfluidic Organ Chips
14:44

Scalable Fabrication of Stretchable, Dual Channel, Microfluidic Organ Chips

Published on: October 20, 2018

27.4K
Generation of a Human iPSC-Based Blood-Brain Barrier Chip
10:20

Generation of a Human iPSC-Based Blood-Brain Barrier Chip

Published on: March 2, 2020

13.4K

Area of Science:

  • Biotechnology
  • Microfluidics
  • Tissue Engineering

Background:

  • Organ-on-a-chip (OoC) devices utilize microfluidic systems to replicate human physiological functions at the microscale.
  • Advances in microfabrication and tissue engineering enable OoCs to culture cells and recreate biochemical/mechanical stimuli with reproducibility and low cost.
  • OoCs present a promising alternative for preclinical pharmaceutical drug testing and efficacy prediction.

Purpose of the Study:

  • To review transduction techniques for real-time monitoring in Organ-on-a-chip devices.
  • To explore current strategies, limitations, and potential solutions for integrating transducers into OoC platforms.
  • To enhance the accuracy of predicting drug efficacy through improved cellular response monitoring.

Main Methods:

  • Exploration of various transduction techniques including optical, electrochemical, mechanical, and resistive sensors.
  • Analysis of current integration strategies for multiple transducer types within a single OoC platform.
  • Review of microfabrication techniques such as cleanroom-based methods and 3D printing.

Main Results:

  • Identified the effective integration of diverse transducers for real-time monitoring as a significant challenge in OoC development.
  • Highlighted the potential of OoCs to predict drug efficacy by accurately monitoring cellular responses.
  • Discussed the limitations associated with current transduction integration methods.

Conclusions:

  • Effective integration of multiple transduction techniques is crucial for advancing Organ-on-a-chip technology.
  • Addressing current limitations will improve the reliability of OoCs for drug development and preclinical testing.
  • Future strategies should focus on seamless transducer integration for comprehensive real-time monitoring in functional organ models.