Particle Size Inversion Based on <i>L</i><sub>1,∞</sub>-Constrained Regularization Model in Dynamic Light Scattering

Particle Size Inversion Based on <i>L</i><sub>1,∞</sub>-Constrained Regularization Model in Dynamic Light Scattering

Dynamic light scattering (DLS) is a highly efficient approach for extracting particle size distributions (PSDs) from autocorrelation functions (ACFs) to measure nanoparticle particles. However, it is a technical challenge to get an exact inversion of the PSD in DLS. Generally, Tikhonov regularizatio...

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Bibliographic Details
Main Authors: Changzhi Li, Zhi Dou, Yajing Wang, Jin Shen, Wei Liu, Gaoge Zhang, Zhixiang Yang, Xiaojun Fu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Photonics
Subjects:
optical scattering
particle sizing
regularization inversion
data fitting term
regularization term
norm
Online Access:https://www.mdpi.com/2304-6732/11/11/1041

Internet

https://www.mdpi.com/2304-6732/11/11/1041

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