TY - GEN
T1 - Analysis of Extracellular Vesicle Data on Fluorescence and Atomic Force Microscopy Images
AU - Janout, Hannah
AU - Schurr, Jonas
AU - Haghofer, Andreas
AU - Hauser, Fabian
AU - Jacak, Jaroslaw
AU - Winkler, Stephan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Extracellular Vesicles (EVs)
KW - Green Fluorescent Proteins
KW - Image Analysis
KW - Multimodal Imaging
KW - Bioinformatics
KW - Fluorescence Microscopy
KW - Atomic Force Microscopy
UR - http://www.scopus.com/inward/record.url?scp=85172278052&partnerID=8YFLogxK
U2 - 0.1007/978-3-031-38854-5_2
DO - 0.1007/978-3-031-38854-5_2
M3 - Conference contribution
AN - SCOPUS:85172278052
SN - 9783031388538
T3 - Communications in Computer and Information Science
SP - 16
EP - 33
BT - Biomedical Engineering Systems and Technologies - 15th International Joint Conference, BIOSTEC 2022, Revised Selected Papers
A2 - Roque, Ana Cecília A.
A2 - Gracanin, Denis
A2 - Lorenz, Ronny
A2 - Tsanas, Athanasios
A2 - Bier, Nathalie
A2 - Fred, Ana
A2 - Gamboa, Hugo
PB - Springer
T2 - Proceedings of the 15th International Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022
Y2 - 9 February 2022 through 11 February 2022
ER -