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Hyperspectral-Enhanced Dark Field Microscopy for Single and Collective Nanoparticle Characterization in Biological Environments

Integrative Biomedical Materials and Nanomedicine Lab, Department of Experimental and Health Sciences (DCEXS), Pompeu Fabra University (UPF), PRBB, Barcelona 08003, Spain
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Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Materials 2018, 11(2), 243; https://doi.org/10.3390/ma11020243
Received: 18 December 2017 / Revised: 18 January 2018 / Accepted: 31 January 2018 / Published: 6 February 2018
(This article belongs to the Special Issue Surface Modification of Nanoparticles)
We review how the hyperspectral dark field analysis gives us quantitative insights into the manner that different nanoscale materials interact with their environment and how this relationship is directly expressed in an optical readout. We engage classification tools to identify dominant spectral signatures within a scene or to qualitatively characterize nanoparticles individually or in populations based on their composition and morphology. Moreover, we follow up the morphological evolution of nanoparticles over time and in different biological environments to better understand and establish a link between the observed nanoparticles’ changes and cellular behaviors. View Full-Text
Keywords: single-particle tracking; hyperspectral analysis of nanoparticles evolution; protein corona; colloidal stability; living organisms; scattering; correlating physicochemical properties with biological responses; enhanced dark field imaging single-particle tracking; hyperspectral analysis of nanoparticles evolution; protein corona; colloidal stability; living organisms; scattering; correlating physicochemical properties with biological responses; enhanced dark field imaging
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MDPI and ACS Style

Zamora-Perez, P.; Tsoutsi, D.; Xu, R.; Rivera_Gil, P. Hyperspectral-Enhanced Dark Field Microscopy for Single and Collective Nanoparticle Characterization in Biological Environments. Materials 2018, 11, 243.

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