Poster + Paper
11 August 2023 Three-dimensional distribution dynamic change observation of carbon nano-onions particle inside cancer cell based on digital holographic tomography
Author Affiliations +
Conference Poster
Abstract
Cancer remains a significant global medical challenge, and the selection of effective treatment modalities is crucial for an optimistic prognosis. Photothermal therapy, being non-invasive and targeted, holds immense potential for future therapeutic developments. Due to their high biocompatibility, carbon nano-onions particles are frequently employed as photothermal materials. The investigation of the dynamic three-dimensional distribution of these nanoparticles within cancer cells is imperative for constructing an accurate photothermal conversion model. In this research, we employed digital holographic tomography to monitor the temporal changes in the three-dimensional distribution of onion-like carbon nanoparticles within colorectal cancer cells. We reconstructed the three-dimensional refractive index distribution of carbon nano-onions particles within cancer cells at different time points. Further, we quantified two morphological parameters, surface area and volume, of these nanoparticles within cancer cells and performed preliminary analysis of their temporal evolution. This methodology introduces a novel perspective to study the interaction between Carbon nano-onions particles and cancer cells, enhancing our understanding of the photothermal therapy mechanism.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yakun Liu, Wen Xiao, Xiaosu Yi, Xi Xiao, Hao Wang, Ran Peng, Yuchen Feng, Qi Zhao, and Feng Pan "Three-dimensional distribution dynamic change observation of carbon nano-onions particle inside cancer cell based on digital holographic tomography", Proc. SPIE 12622, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, 126221B (11 August 2023); https://doi.org/10.1117/12.2676365
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KEYWORDS
Cancer

Nanoparticles

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