Share Email Print
cover

Proceedings Paper

Label-free imaging of exosomes using depth scanning correlation (DSC) interferometric microscopy
Author(s): Ugur Aygun; Ayca Yalcin Ozkumur; Naside Gozde Durmus; Utkan Demirci; Hakan Ürey
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Direct visualization and characterization of nanosized biological particles such as viruses, vesicles and protein aggregates are important for various applications in medicine. Specifically, exosomes (30-150 nm in diameter) gained huge interest due to their potential role as a biomarker in cancer diagnosis and prognosis, however direct detection of these particles is challenging due to their small size. Interferometric microscopy allows detection of these particles without using any labels. We show that visibility of nanoparticles can be enhanced in interferometric microscopy by utilizing defocused images. In this paper, with the proposed method Depth Scanning Correlation, we demonstrate label-free detection of individual exosomes isolated from breast cancer cell culture isolated by using Exosome Total Isolation Chip (ExoTIC). Proposed imaging system combined with an isolation tool, can be used in a wide range of applications, where label-free detection of single biological nanoparticles is needed.

Paper Details

Date Published: 24 February 2020
PDF: 6 pages
Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112510Q (24 February 2020); doi: 10.1117/12.2543242
Show Author Affiliations
Ugur Aygun, Koç Univ. (Turkey)
Ayca Yalcin Ozkumur, Bahçesehir Univ. (Turkey)
Boston Univ. (United States)
Naside Gozde Durmus, Stanford Univ. (United States)
Utkan Demirci, Stanford Univ. (United States)
Hakan Ürey, Koç Univ. (Turkey)


Published in SPIE Proceedings Vol. 11251:
Label-free Biomedical Imaging and Sensing (LBIS) 2020
Natan T. Shaked; Oliver Hayden, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray