Work

Quantifying particle concentration via AI-enhanced optical coherence tomography

Year: 2024

Type: article

Abstract: Efficient and robust quantification of the number of nanoparticles in solution is not only essential but also insufficient in nanotechnology and biomedical research. This paper proposes to use optical coherence tomography (OCT) to quantify the number of gold nanorods, which exemplify the nanoparticles with high light scattering signals. Additionally, we have developed an AI-enhanced OCT image processing to improve the accuracy and robustness of the quantification result.

Source: Nanoscale

DOI: 10.1039/d4nr00195h

Authors: Siqi Ye, Lei Xing, David Myung, Fang Chen

Institutions: Stanford University, Stanford Medicine

Language: English

Topic: Optical Coherence Tomography Applications

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: Research to Prevent Blindness, National Eye Institute, National Cancer Institute

Awards: G2947744210, G3174458080, G641133938, Stanford Vision Research Core