Alginate beads as a highly versatile test-sample for optoacoustic imaging.
Photoacoustics 25:100301 (2022)
Test-samples are necessary for the development of emerging imaging approaches such as optoacoustics (OA); these can be used to benchmark new labeling agents and instrumentation, or to characterize image analysis algorithms or the inversion required to form the three-dimensional reconstructions. Alginate beads (AlBes) loaded with labeled mammalian or bacterial cells provide a method of creating defined structures of controllable size and photophysical characteristics and are well-suited for both in vitro and in vivo use. Here we describe a simple and rapid method for efficient and reproducible production of AlBes with specific characteristics and show three example applications with multispectral OA tomography imaging. We show the advantage of AlBes for studying and eventually improving photo-switching OA imaging approaches. As highly defined, homogeneous, quasi point-like signal sources, AlBes might hold similar advantages for studying other agents, light-fluence models, or the impact of detection geometries on correct image formation in the near future.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Alginate ; Benchmarking ; Optoacoustic ; Photoacoustic ; Test-sample; Fluorescent Proteins; Tomography; Immobilization
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2022
Prepublished im Jahr
2021
HGF-Berichtsjahr
2021
ISSN (print) / ISBN
2213-5979
e-ISSN
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 25,
Heft: ,
Seiten: ,
Artikelnummer: 100301
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
Hackerbrucke 6, 80335 Munich, Germany
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
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Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-505591-004
G-505500-001
Förderungen
DFG
Deutsche Forschungsgemeinschaft (DFG)
Copyright
Erfassungsdatum
2022-01-28