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Enabling sensor technologies for the quantitative evaluation of engineered tissue.

Binil Starly1, Anuja Choubey

  • 1School of Industrial Engineering, University of Oklahoma, 202 W Boyd St, Rm 116B, Norman, OK 73019, USA. starlyb@ou.edu

Annals of Biomedical Engineering
|November 1, 2007
PubMed
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Advanced sensors are crucial for monitoring engineered tissues in regenerative medicine. This review covers sensor technologies for assessing tissue quality, function, and real-time analysis.

Area of Science:

  • Regenerative Medicine
  • Biomedical Engineering
  • Sensor Technology

Background:

  • Regenerative medicine requires robust methods to assess engineered tissue quality.
  • Current methods include microscopy and staining, alongside various sensor technologies.
  • Sensors offer noninvasive or minimally invasive monitoring of critical tissue parameters.

Purpose of the Study:

  • To review core sensor technologies used in tissue engineering over the last decade.
  • To highlight the application of sensors for monitoring tissue morphology, growth, and function.
  • To discuss challenges in developing real-time sensors for in-vitro and in-vivo analysis.

Main Methods:

  • Review of optical, chemical, and biological sensor technologies.
  • Analysis of sensor applications for monitoring oxygen, pH, carbon dioxide, and glucose.

Related Experiment Videos

  • Examination of research trends in sensor deployment for engineered tissues.

    • Main Results:

    • A decade of research demonstrates diverse sensor applications in tissue engineering.
    • Sensors enable monitoring of key physiological variables like oxygen, pH, and glucose.
    • Various sensing schemes provide insights into tissue morphology, growth, and function.

    Conclusions:

    • Sensor technologies are vital for advancing regenerative medicine and tissue engineering.
    • Significant progress has been made in noninvasive monitoring of engineered tissues.
    • Further development is needed for real-time sensors capable of comprehensive in-vitro and in-vivo analysis.