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Flexible polygon-mirror based laser scanning microscope platform for multiphoton in-vivo imaging.

Y X Li1, V Gautam2, A Brüstle2

  • 1Research School of Engineering, College of Engineering and Computer Science, Australia National University, North Road, Canberra ACT, 2601, Australia.

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|February 7, 2017
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Summary

We developed a novel multiphoton microscope with dynamic scanning for high-speed in-vivo imaging. This system captures cellular dynamics and corrects motion artifacts, improving image quality for neuroscience research.

Keywords:
Intravital microscopyhigh-speed scanningneuron signalingreal-time motion correction

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Microscopy

Background:

  • Commercial microscopy often uses fixed scanning speeds, limiting flexibility.
  • Capturing fast biological events in vivo requires advanced imaging capabilities.
  • Motion artifacts from physiological processes degrade image quality in small animal studies.

Purpose of the Study:

  • To develop a high-performance, flexible multiphoton microscope system.
  • To enable dynamic control of scanning speed and frame rates for in-vivo imaging.
  • To integrate motion correction for enhanced image quality in live animal studies.

Main Methods:

  • Constructed a polygon-mirror based multiphoton microscope with a dynamic line scanning system.
  • Developed custom open-source software (PScan1.0) for digital control of scanning parameters.
  • Implemented an image registration algorithm for real-time and post-processed motion correction.

Main Results:

  • Achieved dynamic line scanning speeds from 2.7 kHz to 27 kHz and variable frame rates from 5 Hz to 50 Hz (512x512).
  • Successfully captured calcium waves and transient peaks in single neurons at adjusted imaging speeds (40-160 Hz).
  • Demonstrated effective motion correction, verified by improved blood flow rate quantification.

Conclusions:

  • The developed system offers high performance and flexibility for in-vivo biological imaging.
  • Dynamic scanning control allows optimization for signal gain or high-speed event capture.
  • Integrated motion correction significantly improves the quality of real-time in-vivo cellular imaging.