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Rapid Scan Electron Paramagnetic Resonance Opens New Avenues for Imaging Physiologically Important Parameters In Vivo

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Published on: September 26, 2016

Resonant scanning design and control for fast spatial sampling.

Zhanghao Sun¹, Ronald Quan², Olav Solgaard²

¹Electrical Engineering, Stanford University, Stanford, CA, 94305, USA. zhsun@stanford.edu.

Scientific Reports

|October 9, 2021

Summary

This summary is machine-generated.

This study introduces optimized designs and control methods for two-dimensional resonant scanners, improving spatial sampling and enabling flexible scanning patterns for enhanced imaging applications.

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Area of Science:

Optics and Photonics
Mechanical Engineering
Computer Vision

Background:

Two-dimensional resonant scanners offer compact, high-speed imaging but suffer from inflexible scanning patterns and phase uncertainty.
Limitations hinder their practical application in advanced imaging systems.

Purpose of the Study:

To develop optimized design and control methods for two-dimensional resonant scanner trajectories.
To address constraints like high frame-rate and limited actuation amplitude for improved performance.

Main Methods:

Proposed an analytical design rule for uniform spatial sampling, expanding the design space.
Utilized an optimization algorithm to modulate scanning parameters for flexible, Region-of-Interest (RoI) focused patterns.
Implemented high-bandwidth phase monitoring using a position-sensitive photodetector and electronics.

Main Results:

Demonstrated theoretically and experimentally that proposed designs improve scanning range and fill factor.
Simulations showed benefits for computer vision tasks like LiDAR odometry and 3D object detection.
Experimental verification of unmodulated and modulated scanning modes achieved high frame-rate spatial sampling.

Conclusions:

Optimized designs and control strategies significantly enhance the capabilities of two-dimensional resonant scanners.
Flexible scanning patterns and improved sampling enable advanced imaging and computer vision applications.
High-bandwidth phase monitoring is crucial for realizing these advanced scanning capabilities.