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Updated: Jun 12, 2025

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应用于微分动态显微镜的卷积神经网络在量化异质动态时减少噪声.

Gildardo Martinez1, Justin Siu1, Steven Dang1

  • 1Department of Physics and Biophysics, University of San Diego, San Diego, CA 92110, USA. rmcgorty@sandiego.edu.

Soft matter
|September 24, 2024
PubMed
概括

本研究引入了一种机器学习方法,用于降低微分动态显微镜 (DDM) 分析中的噪声,即使在有限的成像或快速变化的动态中,也可以实现准确的运动量化.

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