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Cell-Based Microarrays

Overview of attention for book
Cover of 'Cell-Based Microarrays'

Table of Contents

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    Book Overview
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    Chapter 1 Next-Generation Live-Cell Microarray Technologies
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    Chapter 2 Cell-Based Microarrays Using Superhydrophobic Platforms Patterned with Wettable Regions
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    Chapter 3 3D Plasma Nanotextured ® Polymeric Surfaces for Protein or Antibody Arrays, and Biomolecule and Cell Patterning
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    Chapter 4 Single Cell Microarrays Fabricated by Microscale Plasma-Initiated Protein Patterning ( μ PIPP)
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    Chapter 5 Artificial Microniche Array with Spatially Structured Biochemical Cues
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    Chapter 6 Three-Dimensional Cell-Based Microarrays: Printing Pluripotent Stem Cells into 3D Microenvironments
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    Chapter 7 Fabrication of Biomolecule Microarrays for Cell Immobilization Using Automated Microcontact Printing
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    Chapter 8 Hydrogel Printing Based on UV-Induced Projection for Cell-Based Microarray Fabrication
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    Chapter 9 Inkjet Printing for Biomedical Applications
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    Chapter 10 High-Throughput Screening of Senescence Markers in Hematopoietic Stem Cells Derived from Induced Pluripotent Stem Cells
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    Chapter 11 Primary and Stem Cell Microarrays: Application as Miniaturized Biotesting Systems
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    Chapter 12 Fabrication of Multielectrode Arrays for Neurobiology Applications
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    Chapter 13 Rapid Prototyping of Thermoplastic Microfluidic Devices
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    Chapter 14 Fabrication of Biomolecule Microarrays Using Rapid Photochemical Surface Patterning in Thiol–Ene-Based Microfluidic Devices
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    Chapter 15 Fabrication and Operation of Microfluidic Hanging-Drop Networks
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    Chapter 16 A Microfluidic Droplet Array System for Cell-Based Drug Combination Screening
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    Chapter 17 Establishment of Microfluidic Spheroid Cultures for Biomedical Applications
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    Chapter 18 Capillary Pinning Assisted Patterning of Cell-Laden Hydrogel Microarrays in Microchips
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    Chapter 19 Oxygen-Generating Photocrosslinkable Hydrogel
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    Chapter 20 A Self-Assembled Antifouling Nano-Biointerface for the Generation of Spheroids
Attention for Chapter 12: Fabrication of Multielectrode Arrays for Neurobiology Applications
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Chapter title
Fabrication of Multielectrode Arrays for Neurobiology Applications
Chapter number 12
Book title
Cell-Based Microarrays
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7792-5_12
Pubmed ID
Book ISBNs
978-1-4939-7791-8, 978-1-4939-7792-5
Authors

Mario Malerba, Hayder Amin, Gian N. Angotzi, Alessandro Maccione, Luca Berdondini, Malerba, Mario, Amin, Hayder, Angotzi, Gian N., Maccione, Alessandro, Berdondini, Luca

Abstract

Substrate-integrated multielectrode arrays (MEAs) enable multisite, long-term, and label-free sensing and actuation of neuronal electrical signals in reduced cell culture models for network electrophysiology. Conventional, thin-film fabricated passive MEAs typically provide a few tens of electrode sites. New generations of active CMOS-based high-resolution arrays provide the capabilities of simultaneous recordings from thousands of neurons over fields of view of several square millimeters, yet allowing extracellular electrical imaging to be achieved down to the subcellular scale. In turn, such advancement in chip-based electrical readouts can significantly complement recently developed biotechnological and bimolecular techniques for neurobiology applications. Here, we describe (1) a simple method to fabricate passive MEAs and (2) protocols for preparing and growing primary rat hippocampal neuronal cultures and human iPS-derived neurons on MEAs. The aim is to provide reliable protocols for initiating the reader to this technology and for stimulating their further development and experimental use in neurobiology.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Doctoral Student 3 16%
Researcher 3 16%
Student > Master 2 11%
Student > Bachelor 2 11%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Engineering 7 37%
Neuroscience 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Materials Science 1 5%
Other 1 5%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2019.
All research outputs
#15,504,780
of 23,041,514 outputs
Outputs from Methods in molecular biology
#5,403
of 13,194 outputs
Outputs of similar age
#269,875
of 442,409 outputs
Outputs of similar age from Methods in molecular biology
#597
of 1,499 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.