title: Application of the PAMONO-Sensor for Quantiﬁcation of Microvesicles and Determination of Nano-Particle Size Distribution.
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 comparison of relative concentrations of microvesicles between samples. We also study a possibility of repeated use of a sensor chip after elution of the microvesicle capturing layer. Moreover, we improve the detection features of the PAMONO-sensor. The detection process utilizes novel machine learning techniques on the sensor image data to estimate particle size distributions of nano-particles in polydisperse samples. Altogether, our ﬁndings expand analytical features and the application ﬁeld of the PAMONO-sensor. They can also serve for a maturation of diagnostic tools based on the PAMONO-sensor platform.
authors.affiliation: Leibniz Institute für Analytische Wissenschaften, ISAS e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, Germany. viktoria.shpacovitch@isas.de.
authors.forename: Victoria
authors.initials: V
authors.lastname: Shpacovitch
authors.affiliation: MIVITEC GmbH, Wamslerstraße.4, 81829 Munich, Germany. irina.sidorenko1104@googlemail.com.
authors.forename: Irina
authors.initials: I
authors.lastname: Sidorenko
authors.affiliation: Department of Computer Science VII, TU Dortmund University, Otto-Hahn-Straße. 16, 44227Dortmund,Germany. janeric.lenssen@tu-dortmund.de.
authors.forename: Jan Eric
authors.initials: JE
authors.lastname: Lenssen
authors.affiliation: Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany. Vladimir.Temchura@viro.med.uni-erlangen.de.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Temchura
authors.affiliation: Department of Computer Science VII, TU Dortmund University, Otto-Hahn-Straße. 16, 44227Dortmund,Germany. frank.weichert@tu-dortmund.de.
authors.forename: Frank
authors.initials: F
authors.lastname: Weichert
authors.affiliation: Department of Computer Science VII, TU Dortmund University, Otto-Hahn-Straße. 16, 44227Dortmund,Germany. heinrich.mueller@tu-dortmund.de.
authors.forename: Heinrich
authors.initials: H
authors.lastname: Müller
authors.affiliation: Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany.
authors.forename: Klaus
authors.initials: K
authors.lastname: Überla
authors.affiliation: Leibniz Institute für Analytische Wissenschaften, ISAS e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, Germany. alexander.zybin@isas.de.
authors.forename: Alexander
authors.initials: A
authors.lastname: Zybin
authors.affiliation: Children's Hospital, Oncology Laboratory, University Clinic Essen, Hufelandstraße. 55, 45122 Essen, Germany. alexander.schramm@uk-essen.de.
authors.forename: Alexander
authors.initials: A
authors.lastname: Schramm
authors.affiliation: Leibniz Institute für Analytische Wissenschaften, ISAS e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, Germany. roland.hergenroeder@isas.de.
authors.forename: Roland
authors.initials: R
authors.lastname: Hergenröder
keywords: deep learning; extracellular vesicles; machine learning; microvesicles; plasmonic sensors; surface plasmon resonance