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Generation of Alginate Microspheres for Biomedical Applications
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Electromagnetic⁻Acoustic Sensing for Biomedical Applications.

Siyu Liu1, Ruochong Zhang2, Zesheng Zheng3

  • 1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. sliu023@e.ntu.edu.sg.

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|September 26, 2018
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Summary
This summary is machine-generated.

Electromagnetic-acoustic (EMA) techniques utilize electromagnetic fields to generate acoustic waves for diverse applications. This review covers EMA theories and methods, highlighting their potential in medical research and practice.

Keywords:
biomedical sensingelectromagnetic-acousticsphotoacousticthermoacoustic

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Area of Science:

  • Physics
  • Biomedical Engineering
  • Acoustics

Background:

  • Electromagnetic-acoustic (EMA) techniques are a class of hybrid methods.
  • These techniques involve generating acoustic waves via electromagnetic field excitation.
  • They encompass photoacoustic, thermoacoustic, and other related methods.

Purpose of the Study:

  • To review the theories and applications of electromagnetic-acoustic (EMA) techniques.
  • To explore various electromagnetic (EM) hybrid methods.
  • To discuss the potential of EMA in pre-clinical research and medical practice.

Main Methods:

  • Review of theories covering high-power EM field excitation (laser, microwave, magnetic field, X-ray) and acoustic wave generation.
  • Description of EMA applications including structural imaging, blood flowmetry, thermometry, dosimetry, and sensing (hemoglobin oxygen saturation, glucose, pH, fingerprints).
  • Inclusion of related EM-acoustic methods like magnetoacoustic and magnetomotive ultrasound/photoacoustic.

Main Results:

  • EMA techniques offer a versatile platform for various applications.
  • The reviewed methods demonstrate applicability in imaging, sensing, and dosimetry.
  • Related EM-acoustic techniques expand the scope of these hybrid approaches.

Conclusions:

  • Electromagnetic-acoustic (EMA) techniques show significant promise for both pre-clinical research and clinical applications.
  • The diverse applications underscore the versatility and potential of EMA.
  • Further development of EMA methods could lead to advancements in medical diagnostics and therapies.