Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Drug delivery and optical neuromodulation using a structured polymer optical fiber with ultra-high NAcitations
  • 2023Optoelectronic and mechanical properties of microstructured polymer optical fiber neural probes20citations
  • 2023In vivo brain temperature mapping using polymer optical fiber Bragg grating sensors15citations
  • 2022Adaptive polymer fiber neural device for drug delivery and enlarged illumination angle for neuromodulation28citations
  • 2022Microstructured soft fiber-based neural device for drug delivery and optical neuromodulation4citations

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Chart of shared publication
Markos, Christos
5 / 46 shared
Kaur, Jaspreet
3 / 4 shared
Meneghetti, Marcello
5 / 12 shared
Sørensen, Roar Jakob Fleng
2 / 2 shared
Berg, Rune W.
5 / 5 shared
Abdollahian, Parinaz
1 / 1 shared
Ioannou, Andreas
1 / 5 shared
Kalli, Kyriacos
1 / 23 shared
Li, Guanghui
1 / 1 shared
Nielsen, Kristian
1 / 54 shared
Sørensen, Jakob Fleng
1 / 1 shared
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2023
2022

Co-Authors (by relevance)

  • Markos, Christos
  • Kaur, Jaspreet
  • Meneghetti, Marcello
  • Sørensen, Roar Jakob Fleng
  • Berg, Rune W.
  • Abdollahian, Parinaz
  • Ioannou, Andreas
  • Kalli, Kyriacos
  • Li, Guanghui
  • Nielsen, Kristian
  • Sørensen, Jakob Fleng
OrganizationsLocationPeople

document

Drug delivery and optical neuromodulation using a structured polymer optical fiber with ultra-high NA

  • Markos, Christos
  • Sui, Kunyang
  • Kaur, Jaspreet
  • Meneghetti, Marcello
  • Sørensen, Roar Jakob Fleng
  • Berg, Rune W.
Abstract

Implantable optical fibers have been widely used for optical neuromodulation in deep brain regions. Polymer fiber-based neural devices have natural advantages over silica fibers since their high flexibility would lead to a less inflammatory response in chronic in vivo experiments. Using three kinds of polymer materials: polycarbonate (PC), polysulfone (PSU), and fluorinated ethylene propylene (FEP), we present multifunctional soft polymer fiber (POF)-based brain implants with an ultra-high numerical aperture (UHNA) and integrated microfluidic channels (MCs) for wide illumination and drug delivery, respectively. The flexibility of the proposed fiber devices has been found to be 100-fold reduced compared to their commercially available counterparts. Biofluids delivery can be controllably achieved over a wide range of injection rates spanning from 10 nL/min to 1000 nL/min by the structured MCs in the fiber cladding. The illumination area of the UHNA POFs in brain phantom has been increased significantly compared with the commercially available silica fibers. A fluorescent light recording experiment has been conducted to demonstrate the proposed UHNA POFs can be used as optical waveguides in fiber photometry. The limited illumination angle of the optical fiber imposed by current technology has been enlarged by the proposed UHNA POFs and we anticipate our work to pave the way toward more efficient multifunctional neural probes for neuroscience.

Topics
  • polymer
  • experiment
  • laser emission spectroscopy