Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Linus Meienberg"'
Autor:
Tansel Baran Yasar, Peter Gombkoto, Alexei L. Vyssotski, Angeliki D. Vavladeli, Christopher M. Lewis, Bifeng Wu, Linus Meienberg, Valter Lundegardh, Fritjof Helmchen, Wolfger von der Behrens, Mehmet Fatih Yanik
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract We introduce Ultra-Flexible Tentacle Electrodes (UFTEs), packing many independent fibers with the smallest possible footprint without limitation in recording depth using a combination of mechanical and chemical tethering for insertion. We de
Externí odkaz:
https://doaj.org/article/21119dd0d9f64f279b42c9710e284121
Autor:
Joshua L Lillvis, Hideo Otsuna, Xiaoyu Ding, Igor Pisarev, Takashi Kawase, Jennifer Colonell, Konrad Rokicki, Cristian Goina, Ruixuan Gao, Amy Hu, Kaiyu Wang, John Bogovic, Daniel E Milkie, Linus Meienberg, Brett D Mensh, Edward S Boyden, Stephan Saalfeld, Paul W Tillberg, Barry J Dickson
Publikováno v:
eLife, Vol 11 (2022)
Brain function is mediated by the physiological coordination of a vast, intricately connected network of molecular and cellular components. The physiological properties of neural network components can be quantified with high throughput. The ability
Externí odkaz:
https://doaj.org/article/a68a4730969a4451b09d469ad8ad473d
Autor:
Joshua L Lillvis, Hideo Otsuna, Xiaoyu Ding, Igor Pisarev, Takashi Kawase, Jennifer Colonell, Konrad Rokicki, Cristian Goina, Ruixuan Gao, Amy Hu, Kaiyu Wang, John Bogovic, Daniel E Milkie, Linus Meienberg, Brett D Mensh, Edward S Boyden, Stephan Saalfeld, Paul W Tillberg, Barry J Dickson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d678d070ccadecacd1324f78184dd98e
https://doi.org/10.7554/elife.81248.sa2
https://doi.org/10.7554/elife.81248.sa2
Autor:
Amy Hu, Jennifer Colonell, Hideo Otsuna, Igor Pisarev, Cristian Goina, Ruixuan Gao, Paul W. Tillberg, Konrad Rokicki, John A. Bogovic, Edward S. Boyden, Takashi Kawase, Kaiyu Wang, Linus Meienberg, Xiaoyu Ding, Daniel E. Milkie, Stephan Saalfeld, Joshua L. Lillvis, Barry J. Dickson
Electron microscopy (EM) allows for the reconstruction of dense neuronal connectomes but suffers from low throughput, limiting its application to small numbers of reference specimens. We developed a protocol and analysis pipeline using tissue expansi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ca17975a7a470ddc8181e6a2b630d9
https://doi.org/10.1101/2021.11.14.468535
https://doi.org/10.1101/2021.11.14.468535