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Here we are offering method decriptions, fulltexts, and macros that you may find useful when working with network-based biocompution, motility or microfabricaton. 

Technology for bio-computational devices


Two important techological developments form the cornerstones of Frida Lindberg's doctoral thesis:


  • the surface chemistry of the devices, which is altered in order to enable re-use and
  • a more efficient fabrication method

 

This file contains previously unpublished manuscripts that describe possibilities to switch channels with PNIPAM. Channels are blocked or activated depending on local  temperature in the devices.   


Technology for biocomputational devices based on molecular motors. F. Lindberg, 2019

Download the fulltext: Lindberg, 2019

Software for automated data evaluation

In order to facilitate rapid screening of compounds affecting kinesin motor activity as well as optimizing kinesin-based in vitro motility assays for nanotechnological applications, we developed an in vitro motility assay where sample preparation, imaging and data evaluation are fully automated, enabling the processing of a 384-well plate within less than three hours. We demonstrate the automated assay for the analysis of peptide inhibitors for kinesin-1 at a wide range of concentrations.


The source code for the automated data evaluation is available on GitHub: https://github.com/thawn/AutoTipTrack


Korten, T., Tavkin, E., Scharrel, L., Kushwaha, V. S. & Diez, S. An automated in vitro motility assay for high-throughput studies of molecular motors. Lab on a Chip 18, 3196-3206, doi:10.1039/c8lc00547h (2018).

Molecular Sense

European Union Flag

This project has received funding from the European Union’s

Horizon 2020 research and innovation programme under grant agreement No 732482.

Call: FETPROACT-2016; Type of Action: RIA (Research and Innovation Action)

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