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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Obstacles on the pathway towards chemical programmability using agglomerations of droplets
Autor/-in: Schneider, Johannes Josef
Faggian, Alessia
Matuttis, Hans-Georg
Barrow, David Anthony
Li, Jin
Holler, Silvia
Casiraghi, Federica
Cebolla Sanahuja, Lorena
Hanczyc, Martin Michael
Eschle, Patrik
Weyland, Mathias Sebastian
Flumini, Dandolo
Eggenberger Hotz, Peter
Füchslin, Rudolf Marcel
et. al: No
DOI: 10.1007/978-3-031-23929-8_4
10.21256/zhaw-27309
Tagungsband: Artificial Life and Evolutionary Computation
Angaben zur Konferenz: XV Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021
Erscheinungsdatum: 22-Jan-2023
Reihe: Communications in Computer and Information Science
Reihenzählung: 1722
Verlag / Hrsg. Institution: Springer
Verlag / Hrsg. Institution: Cham
ISBN: 978-3-031-23928-1
978-3-031-23929-8
Sprache: Englisch
Schlagwörter: Chemical programmability; Artificial life; Droplet; Agglomeration; Computer vision; Network analysis; Simulation
Fachgebiet (DDC): 540: Chemie
Zusammenfassung: We aim at planning and creating specific agglomerations of droplets to study synergic communication using these as programmable units. In this paper, we give an overview of preliminary obstacles for the various research issues, namely of how to create droplets, how to set up droplet agglomerations using DNA technology, how to prepare them for confocal microscopy, how to make a computer see droplets on photos, how to analyze networks of droplets, how to perform simulations mimicking experiments, and how to plan specific agglomerations of droplets.
URI: https://digitalcollection.zhaw.ch/handle/11475/27309
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Angewandte Mathematik und Physik (IAMP)
Publiziert im Rahmen des ZHAW-Projekts: ACDC – Artificial Cells with Distributed Cores to Decipher Protein Function
Enthalten in den Sammlungen:Publikationen School of Engineering

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Schneider, J. J., Faggian, A., Matuttis, H.-G., Barrow, D. A., Li, J., Holler, S., Casiraghi, F., Cebolla Sanahuja, L., Hanczyc, M. M., Eschle, P., Weyland, M. S., Flumini, D., Eggenberger Hotz, P., & Füchslin, R. M. (2023, January 22). Obstacles on the pathway towards chemical programmability using agglomerations of droplets. Artificial Life and Evolutionary Computation. https://doi.org/10.1007/978-3-031-23929-8_4
Schneider, J.J. et al. (2023) ‘Obstacles on the pathway towards chemical programmability using agglomerations of droplets’, in Artificial Life and Evolutionary Computation. Cham: Springer. Available at: https://doi.org/10.1007/978-3-031-23929-8_4.
J. J. Schneider et al., “Obstacles on the pathway towards chemical programmability using agglomerations of droplets,” in Artificial Life and Evolutionary Computation, Jan. 2023. doi: 10.1007/978-3-031-23929-8_4.
SCHNEIDER, Johannes Josef, Alessia FAGGIAN, Hans-Georg MATUTTIS, David Anthony BARROW, Jin LI, Silvia HOLLER, Federica CASIRAGHI, Lorena CEBOLLA SANAHUJA, Martin Michael HANCZYC, Patrik ESCHLE, Mathias Sebastian WEYLAND, Dandolo FLUMINI, Peter EGGENBERGER HOTZ und Rudolf Marcel FÜCHSLIN, 2023. Obstacles on the pathway towards chemical programmability using agglomerations of droplets. In: Artificial Life and Evolutionary Computation. Conference paper. Cham: Springer. 22 Januar 2023. ISBN 978-3-031-23928-1
Schneider, Johannes Josef, Alessia Faggian, Hans-Georg Matuttis, David Anthony Barrow, Jin Li, Silvia Holler, Federica Casiraghi, et al. 2023. “Obstacles on the Pathway towards Chemical Programmability Using Agglomerations of Droplets.” Conference paper. In Artificial Life and Evolutionary Computation. Cham: Springer. https://doi.org/10.1007/978-3-031-23929-8_4.
Schneider, Johannes Josef, et al. “Obstacles on the Pathway towards Chemical Programmability Using Agglomerations of Droplets.” Artificial Life and Evolutionary Computation, Springer, 2023, https://doi.org/10.1007/978-3-031-23929-8_4.


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