Title: | Neuron biochip surface modification by chemical and topographical means for high throughput production using Roll-2-Roll nanoimprint lithography | Language: | English | Authors: | Čelikić, Minja | Qualification level: | Diploma | Keywords: | Roll-to-roll biofluidics; microfluidics; neural | Advisor: | Keplinger, Franz | Issue Date: | 2017 | Number of Pages: | 62 | Qualification level: | Diploma | Abstract: | This thesis describes approaches utilized for manufacture and fictionalization of a neuron biochip that is part of the project Roll-2-Roll Biofluidics. It focuses on establishing techniques needed to obtain structured surface that should promote adhesion and growth of single neural cells as a monolayer. Aiming for low cost, high throughput imprinting that is provided by Roll-2-Roll nanoimprint lithography. Prior to it, fast prototyping is needed. To that respect, high resolution high aspect ratio patterns are obtained by means of UV photolithography. Here, most of attention was given to obtain the network-like pattern of rectangular channels which is denoted under generation 2. The lowest feature size of 5.85 µm and aspect ratio of 3.8 was obtained for single well master. High aspect ratio serves better sensing in future use, here, it was exploited for selective coating of channels by means of spontaneous capillary flow. Due to its simplicity generation 1 was used to compare the capillary flow within different materials. Additionally, this work comprises measurements such as resin's autofluorescence, contact angle and wettability. Most of considered resins did fulfil the requirements of low autofluorescence, however their surface energy varies. |
URI: | https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-94985 http://hdl.handle.net/20.500.12708/2167 |
Library ID: | AC13471591 | Organisation: | E366 - Institut für Sensor- und Aktuatorsysteme | Publication Type: | Thesis Hochschulschrift |
Appears in Collections: | Thesis |
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Celikic Minja - 2017 - Neuron biochip surface modification by chemical and...pdf | 2.17 MB | Adobe PDF | ![]() View/Open |
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