Abstract

Extracellular vesicles (EV) enable cell-to-cell communication in the body of an organism and carry significant potential in the medical field as disease indicators, tissue regeneration, and drug carriers. We developed two workflows to analyze EV data based on microscopy images reliably. The first workflow enables determining the total number of fluorophores per EV by analyzing the photobleaching step counts in a stepwise photobleaching experiment recorded through fluorescence microscopy. Furthermore, we present a workflow for the quality assessment of EV populations through multimodal imaging. Thus, enabling quantification of the purification quality (differentiation between EVs and other components) and the labeling ratio. Both workflows have shown excellent results on various data sets and under various conditions.

Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies - 15th International Joint Conference, BIOSTEC 2022, Revised Selected Papers
EditorsAna Cecília A. Roque, Denis Gracanin, Ronny Lorenz, Athanasios Tsanas, Nathalie Bier, Ana Fred, Hugo Gamboa
PublisherSpringer
Chapter2
Pages16-33
Number of pages18
ISBN (Electronic)978-3-031-38854-5
ISBN (Print)9783031388538
DOIs
Publication statusPublished - 2023
EventProceedings of the 15th International Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022 - Virtual, Online
Duration: 9 Feb 202211 Feb 2022

Publication series

NameCommunications in Computer and Information Science
Volume1814 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceProceedings of the 15th International Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022
CityVirtual, Online
Period09.02.202211.02.2022

Keywords

  • Extracellular Vesicles (EVs)
  • Green Fluorescent Proteins
  • Image Analysis
  • Multimodal Imaging
  • Bioinformatics
  • Fluorescence Microscopy
  • Atomic Force Microscopy

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