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Application of quantitative second-harmonic generation microscopy to dynamic conditions.

Mohammad M Kabir1, V V G Krishna Inavalli, Tung-Yuen Lau

  • 1Photonics Research of Bio/nano Environments (PROBE) Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, 1206 W Green St, Urbana, IL 61801, USA.

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Summary

We developed a new quantitative second-harmonic generation (SHG) imaging method to analyze collagen fiber organization in real-time. This technique is valuable for dynamic biological studies and in vivo applications.

Keywords:
(100.2960) Image analysis(180.4315) Nonlinear microscopy

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Biophysics

Background:

  • Collagen's structural organization is crucial for tissue function.
  • Existing methods for analyzing collagen organization are often static or time-consuming.
  • Dynamic analysis of collagen structure is needed for understanding biological processes.

Purpose of the Study:

  • To present a quantitative second-harmonic generation (SHG) imaging technique.
  • To enable real-time quantification of 2D collagen fiber spatial organization.
  • To demonstrate the method's applicability under dynamic conditions.

Main Methods:

  • Utilized quantitative second-harmonic generation (SHG) imaging.
  • Applied the technique to both aligned tendon and randomly aligned collagen scaffolds.
  • Validated the method across different window sizes and with a gridded overlay map for orientation correlation.

Main Results:

  • Successfully quantified the 2D spatial organization of collagen fibers dynamically.
  • Confirmed the method's applicability for various sample types and analysis parameters.
  • Demonstrated correlation of fiber orientations within images.

Conclusions:

  • The developed SHG imaging technique provides dynamic, quantitative analysis of collagen organization.
  • This method is suitable for diverse collagenous samples and conditions.
  • The technique has significant implications for in vivo biological studies.