MH
Michel H.Y. Hu
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5 records found
1
Conference paper
(2022)
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Nele Revyn, Michel H.Y. Hu, Jean-Philippe Frimat, Bjorn de Wagenaar, Arn M.J.M. van den Maagdenberg, Pasqualina M. Sarro, Massimo Mastrangeli
We present preliminary recordings on chip of three-dimensional (3D) electric neuronal activity from cultures of cortical neurons derived from human-induced pluripotent stem cells (hiPSCs). The recordings were obtained through 3D microelectrode arrays (MEAs) composed of truncated, 90 μm-high Si micropyramids endowed with multiple, electrically distinct, and vertically arranged TiN microelectrodes. The unique design and implementation of the 3D microelectrodes, complemented by a 60-electrode readout interface, 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. Future work will aim at optimizing extended 3D MEAs over optically transparent substrates for electro-physiological investigation of 3D neuronal tissues and organoids.
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We present preliminary recordings on chip of three-dimensional (3D) electric neuronal activity from cultures of cortical neurons derived from human-induced pluripotent stem cells (hiPSCs). The recordings were obtained through 3D microelectrode arrays (MEAs) composed of truncated, 90 μm-high Si micropyramids endowed with multiple, electrically distinct, and vertically arranged TiN microelectrodes. The unique design and implementation of the 3D microelectrodes, complemented by a 60-electrode readout interface, 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. Future work will aim at optimizing extended 3D MEAs over optically transparent substrates for electro-physiological investigation of 3D neuronal tissues and organoids.
Poster
(2021)
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H. Aydogmus, H.J. van Ginkel, A-D. Galiti, M.H.Y. Hu, J-P. Frimat, A.M.J.M. van den Maagdenberg, G.Q. Zhang, M. Mastrangeli, P.M. Sarro
Poster
(2021)
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Nele Revyn, Michel Hu, Jean-Philippe Frimat, Arn M.J.M. van den Maagdenberg, Pasqualina M Sarro, Massimo Mastrangeli
Conference paper
(2021)
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Hande Aydogmus, H. Joost van Ginkel, Anna-Danai Galiti, Michel Hu, Jean-Philippe Frimat, Arn van den Maagdenberg, GuoQi Zhang, Massimo Mastrangeli, Pasqualina M. Sarro
Continuous monitoring of tissue microphysiology is a key enabling feature of the organ-on-chip (OoC) approach for drug screening and disease modeling. Sensing charged species in OoC tissue microenvironments is thereby essential. However, the inherently small (i.e., cm) size of OoC devices poses the challenging requirement to integrate miniaturized and highly sensitive in situ charge sensing components to maximize signal extraction from small volumes (nL to L, range) of media used in these devices. Here we meet this need by presenting a novel dual-gate field-effect transistor-based charge sensor integrated within an optically transparent microelectromechanical (MEM) OoC device. Post-process mask-less decoration of Ti sensing electrodes by spark-ablated Au nanoparticle films significantly increases the effective electrode surface area and thus sensor sensitivity while retaining the CMOS-compatibility of the wafer-level fabrication process. We validate the biocompatibility of the sensor and its selective response to poly-D-lsine and KC1, and provide a perspective on monitoring cultures and differentiation of hiPSC-derived cortical neurons on our OoC device.
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Continuous monitoring of tissue microphysiology is a key enabling feature of the organ-on-chip (OoC) approach for drug screening and disease modeling. Sensing charged species in OoC tissue microenvironments is thereby essential. However, the inherently small (i.e., cm) size of OoC devices poses the challenging requirement to integrate miniaturized and highly sensitive in situ charge sensing components to maximize signal extraction from small volumes (nL to L, range) of media used in these devices. Here we meet this need by presenting a novel dual-gate field-effect transistor-based charge sensor integrated within an optically transparent microelectromechanical (MEM) OoC device. Post-process mask-less decoration of Ti sensing electrodes by spark-ablated Au nanoparticle films significantly increases the effective electrode surface area and thus sensor sensitivity while retaining the CMOS-compatibility of the wafer-level fabrication process. We validate the biocompatibility of the sensor and its selective response to poly-D-lsine and KC1, and provide a perspective on monitoring cultures and differentiation of hiPSC-derived cortical neurons on our OoC device.
Poster
(2020)
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T.M. de Rijk, Michel Hu, Jean-Philippe Frimat, Arn M.J.M. van den Maagdenberg, P.M. Sarro, M. Mastrangeli
In vitro study of high-level neurobiological systems requires three-dimensional (3D) neuronal cultures [1]. Meas-uring responses along all three spatial dimensions is critical to record electric activity inside 3D neuronal models, such as organoids and other 3D brain tissue constructs. However, this lies beyond the capacity of 2D microelec-trode arrays (MEAs) [2]. We present planar arrays of 3D micro-pyramids, whereby each micro-pyramid supports multiple, electrically distinct and vertically stacked microelectrodes. The 3D microarrays were produced by wafer-scale micromachining and assembled onto printed circuit boards (PCBs) conforming to MEA readout standards.
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In vitro study of high-level neurobiological systems requires three-dimensional (3D) neuronal cultures [1]. Meas-uring responses along all three spatial dimensions is critical to record electric activity inside 3D neuronal models, such as organoids and other 3D brain tissue constructs. However, this lies beyond the capacity of 2D microelec-trode arrays (MEAs) [2]. We present planar arrays of 3D micro-pyramids, whereby each micro-pyramid supports multiple, electrically distinct and vertically stacked microelectrodes. The 3D microarrays were produced by wafer-scale micromachining and assembled onto printed circuit boards (PCBs) conforming to MEA readout standards.