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Deep learning-assisted 3D laser steering using an optofluidic laser scanner.

Chunqi Zhang1, Ruofeng Wei1, Hangjie Mo1

  • 1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China.

Biomedical Optics Express
|March 18, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a deep learning 3D laser steering strategy for minimally invasive surgery. It overcomes laser defocusing, enhancing precision and range for surgical applications.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Laser Technology

Background:

  • Current laser scanners face defocusing issues in 3D surgical environments, limiting precision.
  • The need for improved laser focusing and extended working distances in minimally invasive surgery is critical.

Purpose of the Study:

  • To develop a deep learning-assisted 3D laser steering strategy to eliminate laser defocusing.
  • To enhance the working distance and scanning range of laser scanners for surgical applications.
  • To introduce an optofluidic laser scanner with no mechanical moving parts.

Main Methods:

  • A deep learning-based monocular depth estimation method was employed for real-time target depth assessment.
  • An optofluidic laser scanner was developed for 3D laser steering with adjustable focal length.
  • Simulations and experimental validations were conducted to assess the system's performance.

Main Results:

  • The proposed strategy successfully eliminated laser defocusing across different target depths.
  • A significant increase in working distance and scanning range was achieved.
  • The optofluidic laser scanner demonstrated miniature size, lightweight design, and low driving voltage.

Conclusions:

  • The deep learning-assisted 3D laser steering strategy shows significant potential for improving minimally invasive surgery.
  • The developed optofluidic laser scanner offers a robust and precise solution for 3D laser steering.
  • This technology can enhance surgical accuracy and enable new minimally invasive procedures.