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Jelena Vukasinovic

Researcher at Georgia Institute of Technology

Publications -  24
Citations -  497

Jelena Vukasinovic is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Cell culture & Engineering. The author has an hindex of 10, co-authored 21 publications receiving 454 citations. Previous affiliations of Jelena Vukasinovic include Georgia Tech Research Institute.

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Culturing thick brain slices: an interstitial 3D microperfusion system for enhanced viability.

TL;DR: The design of the custom-made microperfusion chamber facilitates laminar, interstitial perfusion of oxygenated nutrient medium throughout the tissue thickness with concomitant removal of depleted medium and catabolites and confirms that these cultures are functionally active and have their in vivo cyto-architecture preserved.
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Active 3-D microscaffold system with fluid perfusion for culturing in vitro neuronal networks.

TL;DR: The design, fabrication, packaging, and characterization of an active microscaffold system with fluid perfusion/nutrient delivery functionalities for culturing in vitro neuronal networks from dissociated hippocampal rat pup neurons was demonstrated.
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Microfluidic engineered high cell density three-dimensional neural cultures

TL;DR: The utility of forced interstitial convection in improving the survival of high cell density 3D engineered neural constructs is demonstrated and may aid in the development of novel tissue-engineered systems reconstituting 3D cell-cell/cell-matrix interactions.
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Microfabrication technologies for a coupled three-dimensional microelectrode, microfluidic array

TL;DR: In this paper, an excimer laser has been used to define patterns in a polymer mold layer that is conformally vapor-deposited on a 3D microfluidic SU-8 substrate.
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Neural tissue engineering and biohybridized microsystems for neurobiological investigation in vitro (Part 1).

TL;DR: The efforts to engineer a range of 3-D neural cellular constructs by systematically varying parameters such as cell composition, cell density, matrix constituents, and mass transport are detailed, with ramifications on neural cell survival, function, and network formation based on these parameters are specifically addressed.