High-density Array
High-density Array - Related Videos
09:00
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2026
Here, we describe a protocol for ex vivo high-density microelectrode array recordings from acute cerebellar brain slices of a dystonic hamster model that received in vivo. continuous pallidal deep brain stimulation for 11 days.
08:07
Ultrahigh Density Array of Vertically Aligned Small-molecular Organic Nanowires on Arbitrary Substrates
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Cited by 3 •
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We report a simple method for fabricating an ultrahigh density array of vertically ordered small-molecular organic nanowires. This method allows for synthesis of complex heterostructured hybrid nanowire geometries, which can be inexpensively grown on arbitrary substrates. These structures have potential applications in organic electronics, optoelectronics, chemical sensing, photovoltaics and spintronics.
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
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08:42
Density Gradient Ultracentrifugation
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2023
Density gradient ultracentrifugation is a common technique used to isolate and purify biomolecules and cell structures. This technique exploits the fact that, in suspension, particles that are more dense than the solvent will sediment, while those that are less dense will float. A high-speed ultracentrifuge is used to accelerate this process in order to separate biomolecules within a density gradient, which can be established by layering liquids of decreasing density in a centrifuge tube. The...
09:44
Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array
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Cited by 8 •
2024
Here, we employ HD-MEA to delve into computational dynamics of large-scale neuronal ensembles, particularly in hippocampal, olfactory bulb circuits, and human neuronal networks. Capturing spatiotemporal activity, combined with computational tools, provides insights into neuronal ensemble complexity. The method enhances understanding of brain functions, potentially identifying biomarkers and treatments for neurological disorders.
FAQs
Each location retains a defined probe identity, so a measured binding event can be associated with a particular antigen, peptide, nucleic acid sequence, or capture molecule. Selective binding by an antibody, protein, or cell links the observed signal to that target. This site-specific mapping lets researchers compare reactivity across many targets in one experiment.
Interpretation depends on comparing signal intensities or patterns across sites and samples. A response may appear as reactivity to one target or as a broader profile across many defined sites. Because the array records these measurements together, researchers can identify shared, distinct, or sample-specific immune-recognition patterns relevant to infection and host responses.
Unlike a single-analyte assay, a high-density array examines many predefined interactions in parallel rather than focusing on one target at a time. This broader coverage can reveal combinations of reactive targets and compare complex immune profiles between samples. Consequently, results can support pattern-based interpretation rather than analysis of only one measured interaction.
A basic analysis begins by assigning each array site a known antigen, peptide, nucleic acid sequence, or other capture molecule. The sample is then evaluated for selective binding of antibodies, proteins, or cells, followed by measurement of the signal at each location. Mapping signals back to site identities produces a multiplexed interaction profile for comparison.
Researchers may choose this approach when they need broad screening rather than measurement of a single immune target. In immunology and infection studies, it can support biomarker discovery, identification of pathogen-associated targets, and comparison of immune reactivity among samples. These uses help prioritize patterns or targets for more detailed characterization of host-pathogen interactions.
In host-pathogen research, arrays can connect defined pathogen-associated probes with antibody, protein, or cellular binding responses from a sample. The resulting profile may show which targets are recognized and how recognition differs between samples. This provides a way to examine immune-response breadth and organize complex interaction data without limiting analysis to one analyte.