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Title:

Application of the PAMONO-Sensor for Quantification of Microvesicles and Determination of Nano-Particle Size Distribution

Document type:
Article
Author(s):
Shpacovitch, Victoria; Sidorenko, Irina; Lenssen, Jan Eric; Temchura, Vladimir; Weichert, Frank; Muller, Heinrich; Uberla, Klaus; Zybin, Alexander; Schramm, Alexander; Hergenroder, Roland
Abstract:
The PAMONO-sensor (plasmon assisted microscopy of nano-objects) demonstrated an ability to detect and quantify individual viruses and virus-like particles. However, another group of biological vesicles-microvesicles (100-1000 nm)-also attracts growing interest as biomarkers of different pathologies and needs development of novel techniques for characterization. This work shows the applicability of a PAMONO-sensor for selective detection of microvesicles in aquatic samples. The sensor permits com...     »
Keywords:
plasmonic sensors; surface plasmon resonance; extracellular vesicles; microvesicles; machine learning; deep learning
Journal title:
Sensors
Year:
2017
Journal volume:
17
Month:
FEB
Journal issue:
2
Language:
English
Fulltext / DOI:
doi:10.3390/s17020244
Publisher:
MDPI
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