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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

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...

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Related Experiment Video

Updated: May 9, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Bio-Microfluidics Real-Time Monitoring Using CNN Technology.

F Sapuppo, M Intaglietta, M Bucolo

    IEEE Transactions on Biomedical Circuits and Systems
    |July 16, 2013
    PubMed
    Summary
    This summary is machine-generated.

    A novel non-invasive system monitors microfluidic phenomena in real-time. This technology aids biomedical research, including lab-on-chip devices and microcirculation studies, by analyzing particle and fluid transport.

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    Last Updated: May 9, 2026

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    Area of Science:

    • Biomedical Engineering
    • Fluid Dynamics
    • Optical Systems

    Background:

    • Microfluidic systems require advanced monitoring for particle and two-phase fluid transport.
    • Existing methods may lack real-time, non-invasive capabilities for complex microfluidic phenomena.

    Purpose of the Study:

    • To develop and validate a non-invasive, real-time monitoring and control system for microfluidodynamic phenomena.
    • To enable applications in biomedical fields, including lab-on-chip devices and microcirculation research.

    Main Methods:

    • An integrated optical setup with image magnification was designed for data acquisition.
    • A focal plane processor (FPP) utilizing cellular nonlinear networks (CNNs) analogic technology performed optical sensing, acquisition, and processing.
    • Custom algorithms were developed for real-time fluidodynamic parameter extraction in micro-channels.

    Main Results:

    • The system was successfully tested on in vivo microcirculation experiments in hamsters.
    • Real-time analysis of two-phase fluid flow in a microfluidic serpentine mixer was demonstrated.
    • The system provides accessible information throughout the optical path for comprehensive analysis.

    Conclusions:

    • The proposed non-invasive system offers effective real-time monitoring and control of microfluidic processes.
    • Its versatility supports both in vitro and in vivo applications in the biomedical field.
    • This technology advances research in microcirculation and lab-on-chip device development.