Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Development of Si-CMOS hybrid detectors towards electron tracking based Compton imaging in semiconductor detectors

Hiroki Yoneda, Shinya Saito, Shin Watanabe, Hirokazu Ikeda, Tadayuki Takahashi

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2017

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Summary

This paper describes the engineering development of hybrid silicon-CMOS detector systems intended to advance Compton imaging techniques using semiconductor materials. The work appears to focus on improving electron tracking resolution within hybrid detector architectures, combining silicon sensors with complementary metal-oxide-semiconductor (CMOS) readout electronics. As a specialist instrumentation paper, it contributes to detector technology rather than directly to agricultural or nutritional research.

UK applicability

This paper has no direct applicability to UK farming systems, soil health, nutrient density or human health research. It is a fundamental physics instrumentation study with potential distant relevance only if such detectors were eventually adapted for food safety or environmental radiological monitoring applications.

Key measures

Detector performance characteristics including electron tracking capability, Compton imaging resolution, and semiconductor detection efficiency

Outcomes reported

The study reports on the technical development and characterisation of Si-CMOS hybrid semiconductor detectors designed to enable electron tracking capabilities for Compton imaging. Performance metrics for the detector system as suggested by the title appear to focus on imaging resolution and detection efficiency in laboratory conditions.

Theme
Measurement & metrics
Subject
Other / interdisciplinary
Study type
Research
Study design
Laboratory / instrumental development study
Source type
Peer-reviewed study
Status
Published
Geography
Japan
System type
Laboratory / in vitro
DOI
10.1016/j.nima.2017.11.078
Catalogue ID
BFmoc27ncz-7ct9xd

Topic tags

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