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B. de Wagenaar

Researcher at University of Twente

Publications -  7
Citations -  561

B. de Wagenaar is an academic researcher from University of Twente. The author has contributed to research in topics: Sperm & Sperm motility. The author has an hindex of 4, co-authored 5 publications receiving 459 citations. Previous affiliations of B. de Wagenaar include MESA+ Institute for Nanotechnology.

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BBB ON CHIP: microfluidic platform to mechanically and biochemically modulate blood-brain barrier function

TL;DR: The smallest model of the blood-brain barrier yet is presented, using a microfluidic chip, and the immortalized human brain endothelial cell line hCMEC/D3, which is very well suited to study barrier function and evaluate drug passage to finally gain more insight into the treatment of neurodegenerative diseases.
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Towards microfluidic sperm refinement: impedance-based analysis and sorting of sperm cells

TL;DR: This work aims to develop a microfluidic setup which is able to detect and sort morphologically normal sperm cells label-free and non-invasively, and developed a label- free cell sorting system using LabVIEW, which is capable of sorting sperm cells based on impedance.
Journal ArticleDOI

Microfluidic single sperm entrapment and analysis

TL;DR: A PDMS microfluidic platform that allows single sperm entrapment is designed and characterized and suitable for the analysis of individual sperm cells, which could be exploited for (non-invasive) sperm analysis and selection by impedance or Raman spectroscopy.
Journal ArticleDOI

Make it spin: individual trapping of sperm for analysis and recovery using micro-contact printing

TL;DR: A technique to simultaneously screen thousands of viable single sperm for motility assessment while retaining the ability for single species recovery for enhanced fertilization purposes is shown for the first time.
Proceedings ArticleDOI

Recording Neuronal Activity On Chip with Segmented 3D Microelectrode Arrays

TL;DR: The unique design and implementation of the 3D microelectrodes allow for 3D spatial recording of neuronal activity, as well as single-unit recordings in high throughput, which are currently not possible with commercial MEA platforms.