Presentation
19 April 2017 A new full-field interferometry approach for counting and differentiating aquatic biotic nanoparticles (Conference Presentation)
A. Claude Boccara, Yasmina Fedala, Justine Voronkoff, Nina Paffoni, Martine Boccara
Author Affiliations +
Abstract
Due to the huge abundance and the major role that viruses and membrane vesicles play in the seas or rivers ecosystems it is necessary to develop simple, sensitive, compact and reliable methods for their detection and characterization. Our approach is based on the measurement of the weak light level scattered by the biotic nanoparticles. We describe a new full-field, incoherently illuminated, shot-noise limited, common-path interferometric detection method coupled with the analysis of Brownian motion to detect, quantify, and differentiate biotic nanoparticles. The last developments take advantage of a new fast (700 Hz) camera with 2 Me- full well capacity that improves the signal to noise ratio and increases the precision of the Brownian motion characterization. We validated the method with calibrated nanoparticles and homogeneous DNA or RNA.viruses. The smallest virus size that we characterized with a suitable signal-to-noise ratio was around 30 nm in diameter with a target towards the numerous 20 nm diameter viruses. We show for the first time anisotropic trajectories for myoviruses meaning that there is a memory of the initial direction of their Brownian motions. Significant improvements have been made in the handling of the sample as well as in the statistical analysis for differentiating the various families of vesicles and virus. We further applied the method for vesicles detection and for analysis of coastal and oligotrophic samples from Tara Oceans circumnavigation as well of various rivers.
Conference Presentation
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A. Claude Boccara, Yasmina Fedala, Justine Voronkoff, Nina Paffoni, and Martine Boccara "A new full-field interferometry approach for counting and differentiating aquatic biotic nanoparticles (Conference Presentation)", Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 100630D (19 April 2017); https://doi.org/10.1117/12.2250404
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KEYWORDS
Nanoparticles

Interferometry

Signal to noise ratio

Statistical analysis

Viruses

Biological research

Ecosystems

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