Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ilya Yurchenko"'
Publikováno v:
Biomimetics, Vol 6, Iss 2, p 41 (2021)
The formation of neuron networks is a process of fundamental importance for understanding the development of the nervous system and for creating biomimetic devices for tissue engineering and neural repair. The basic process that controls the network
Externí odkaz:
https://doaj.org/article/b13476ccbe64476abfd13be931d748ee
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216181 (2019)
Geometrical cues are known to play a very important role in neuronal growth and the formation of neuronal networks. Here, we present a detailed analysis of axonal growth and dynamics for neuronal cells cultured on patterned polydimethylsiloxane surfa
Externí odkaz:
https://doaj.org/article/c3eb87f670f84c68bade91732ebc2301
Publikováno v:
Biomimetics
Volume 6
Issue 2
Biomimetics, Vol 6, Iss 41, p 41 (2021)
Volume 6
Issue 2
Biomimetics, Vol 6, Iss 41, p 41 (2021)
The formation of neuron networks is a process of fundamental importance for understanding the development of the nervous system and for creating biomimetic devices for tissue engineering and neural repair. The basic process that controls the network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2655991f04f031d6da67e1bd6fc155d6
Publikováno v:
Nanotechnology. 31(50)
We use a new method based on electrostatic force microscopy (EFM) to perform quantitative measurements of the dielectric constants of individual electrospun nanofibers of poly(L-lactic acid) (PLLA), as well as composite fibers of PLLA with embedded m
Publikováno v:
Soft matter. 15(48)
Geometrical features play a very important role in neuronal growth and the formation of functional connections between neuronal cells. Here, we analyze the dynamics of axonal growth for neuronal cells cultured on micro-patterned polydimethylsiloxane
Geometrical cues play an essential role in neuronal growth. Here, we quantify axonal growth on surfaces with controlled geometries and report a general stochastic approach that quantitatively describes the motion of growth cones. We show that axons d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f0b7565f4e5f9cae502a1f3064ccfb1
http://arxiv.org/abs/1903.01337
http://arxiv.org/abs/1903.01337