Semiconductor Sequencing Platform
Semiconductor Sequencing Platform - Related Videos
12:36
Semiconductors
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2023
Source: Derek Wilson, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA Semiconductors are materials whose ability to conduct an electrical current depends strongly on their temperature and level of impurity. The most common type of semiconductor material is crystalline silicon. Most pure semiconductors are not outstanding conductors; to improve conductivity, a pure semiconductor is often combined or "doped" with an...
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Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
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Cited by 3 •
2022
The protocol presents the overall in-lab procedures required in pre-implantation genetic testing for aneuploidy on a semiconductor-based next-generation sequencing platform. Here we present the detailed steps of whole genome amplification, DNA fragment selection, library construction, template preparation, and sequencing working flow with representative results.
06:21
Multi-Gene Single Nucleotide Polymorphism Detection in Gastric Cancer Based on Ion Semiconductor Sequencing Platform
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2024
This protocol proposes holistic laboratory procedures required to detect single nucleotide polymorphisms in gastric cancer samples based on an ion semiconductor sequencing platform. The target sequences, ligating adapters, library amplification and purification, and quality control criteria are also described in detail.
00:09
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
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Cited by 2 •
2019
Here, we introduce a semiconductor sequencing method for preimplantation genetic testing for aneuploidy (PGT-A) with the advantages of short turnaround time, low cost, and high throughput.
11:14
Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope
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Cited by 4 •
2016
The optical, electrical, and structural properties of dislocations and of grain boundaries in semiconductor materials can be determined by experiments performed in a scanning electron microscope. Electron microscopy has been used to investigate cathodoluminescence, electron beam induced current, and diffraction of backscattered electrons.
FAQs
The key event is the release of hydrogen ions when the correct nucleotide joins the template-bound DNA. Those ions alter the local pH, and the resulting chemical change is registered as an electrical signal by the ion-sensitive field-effect transistor. Because incorporation and detection are directly linked, the platform can translate molecular events into sequence information without an optical readout.
An ion-sensitive field-effect transistor serves as the local detector for the chemistry occurring at the DNA template. It responds to the pH change produced by hydrogen-ion release, rather than requiring a fluorescent label or optical imaging step. This component is central to the platform’s semiconductor design because it couples chemical detection to electronic measurement.
Compared with fluorescence-based sequencing approaches, this platform does not depend on fluorescent labels or optical imaging to recognize incorporation. Its direct electrical readout can support rapid genetic analysis while simplifying the instrumentation and assay complexity. The distinction is therefore not only in signal type; it also affects how the sequencing system detects and records nucleotide incorporation.
Sequential nucleotide delivery provides the basis for associating a detected signal with a particular nucleotide. The system exposes template-bound DNA to nucleotides in an ordered flow, then monitors whether incorporation produces the hydrogen-ion and pH change. This ordered process allows the resulting electrical signals to be interpreted as sequence data rather than as an undifferentiated chemical response.
A practical workflow uses template-bound DNA, introduces nucleotides sequentially, and monitors the local electrical response after incorporation. The recorded signals are then used to generate sequence data for genetic analysis. This workflow avoids the need to coordinate fluorescent labeling with optical imaging, which helps explain why semiconductor-based instrumentation can reduce assay complexity while supporting rapid analysis.
Researchers can apply the platform to targeted sequencing, microbial identification, and variant detection. In targeted sequencing, the resulting data focus analysis on selected genetic information, whereas microbial identification uses sequence results to investigate microbial genetic material. Variant detection supports examination of genetic differences, making the technology useful across both focused assays and broader genetics research.
Sequence data generated by the platform can be examined for mutations, genetic variation, and disease-associated changes. These findings connect the electrical detection process to genetics: the measurements are not the final objective, but a source of sequence information for investigating genetic differences and disease-associated changes. This makes the platform relevant to studies that seek biologically meaningful changes in DNA.