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Cited by 292

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Digital Detection of Exosomes by Interferometric Imaging

Open access
Daaboul, George G., Gagni, Paola, Benussi, Luisa, Bettotti, Paolo, Ciani, Miriam, Cretich, Marina, Freedman, David S., Ghidoni, Roberta, Ozkumur, Ayca Yalcin, Piotto, Chiara, Prosperi, Davide, Santini, Benedetta, Ünlü, M. Selim, Chiari, Marcella·2016·Scientific Reports

Abstract

Exosomes, which are membranous nanovesicles, are actively released by cells and have been attributed to roles in cell-cell communication, cancer metastasis, and early disease diagnostics. The small size (30–100 nm) along with low refractive index contrast of exosomes makes direct characterization and phenotypical classification very difficult. In this work we present a method based on Single Particle Interferometric Reflectance Imaging Sensor (SP-IRIS) that allows multiplexed phenotyping and digital counting of various populations of individual exosomes (>50 nm) captured on a microarray-based solid phase chip. We demonstrate these characterization concepts using purified exosomes from a HEK 293 cell culture. As a demonstration of clinical utility, we characterize exosomes directly from human cerebrospinal fluid (hCSF). Our interferometric imaging method could capture, from a very small hCSF volume (20 uL), nanoparticles that have a size compatible with exosomes, using antibodies directed against tetraspanins. With this unprecedented capability, we foresee revolutionary implications in the clinical field with improvements in diagnosis and stratification of patients affected by different disorders.

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Metadata

Authors
Daaboul, G. G., Gagni, P., Benussi, L., Bettotti, P., Ciani, M., Cretich, M., Freedman, D. S., Ghidoni, R., Ozkumur, A. Y., Piotto, C., Prosperi, D., Santini, B., Ünlü, M. S., & Chiari, M.
Venue
Scientific Reports
Published
2016-11-17
Volume
6
Issue
1
Pages
37246-37246
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2549542099
Cited by
292
References
31
FWCI
6.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Digital Detection of Exosomes by Interferometric Imaging. https://app.cochat.ai/papers/10.1038/srep37246
The paper
Daaboul, G. G., Gagni, P., Benussi, L., Bettotti, P., Ciani, M., Cretich, M., Freedman, D. S., Ghidoni, R., Ozkumur, A. Y., Piotto, C., Prosperi, D., Santini, B., Ünlü, M. S., & Chiari, M. (2016). Digital Detection of Exosomes by Interferometric Imaging. Scientific Reports. https://doi.org/10.1038/srep37246

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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