ReviewSensors (Basel, Switzerland)2026
CCD Pixel Miniaturization Technologies for Spatial Resolution Enhancement.
Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
Charge-coupled device (CCD) image sensors stand out for their high sensitivity, low noise, and strong radiation tolerance, which have established them as core components in high-end imaging fields such as astronomical observation, remote sensing, and defense and security. With increasingly stringent requirements for imaging system performance in emerging applications, including ultra-high resolution, intelligent sensing, and multimodal information fusion, CCD technology continues to evolve toward higher levels of integration and improved performance. Within a fixed sensor area, one of the most straightforward ways to raise image resolution is to shrink pixel size, that is, CCD pixel miniaturization. In this review, we provide a systematic survey of the major advances in CCD pixel miniaturization achieved in recent years. We first detail four mainstream CCD architectures-linear-array, full-frame, frame-transfer, and interline-transfer-along with several newly developed architectures, and compare their performance characteristics and application constraints. We then summarize the key technologies that enable pixel miniaturization and examine several closely related technological directions. Finally, we look at the current state of CCD pixel miniaturization and discuss its future development trends.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.