Publication type: | Conference paper |
Type of review: | Peer review (publication) |
Title: | Obstacles on the pathway towards chemical programmability using agglomerations of droplets |
Authors: | 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 |
Proceedings: | Artificial Life and Evolutionary Computation |
Conference details: | XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021 |
Issue Date: | 22-Jan-2023 |
Series: | Communications in Computer and Information Science |
Series volume: | 1722 |
Publisher / Ed. Institution: | Springer |
Publisher / Ed. Institution: | Cham |
ISBN: | 978-3-031-23928-1 978-3-031-23929-8 |
Language: | English |
Subjects: | Chemical programmability; Artificial life; Droplet; Agglomeration; Computer vision; Network analysis; Simulation |
Subject (DDC): | 540: Chemistry |
Abstract: | 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 |
Fulltext version: | Published version |
License (according to publishing contract): | Licence according to publishing contract |
Departement: | School of Engineering |
Organisational Unit: | Institute of Applied Mathematics and Physics (IAMP) |
Published as part of the ZHAW project: | ACDC – Artificial Cells with Distributed Cores to Decipher Protein Function |
Appears in collections: | 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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