CMOS and CCD image sensors for space applications

Jerram, Paul; Stefanov, Konstantin D.

doi:10.1016/b978-0-08-102434-8.00009-x

Cited by 11 publications

(6 citation statements)

References 43 publications

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“…CMOS senzor vie prenášať dáta z každého bodu samostatne, zatiaľ čo predchádzajúci obvod s nábojovou väzbou (charge-coupled device -CCD) po riadkoch. Hlavnými výhodami technológie CMOS sú oveľa jednoduchšie rozhranie, nízka spotreba energie, nízky šum a nie sú tak náchylné na degradáciu účinnosti prenosu náboja (CTE) z protónového ožiarenia ako CCD snímače (Jerram a Stefanov, 2020).…”

Section: Bkb24 Inštrumentálna Zobrazovacia Technika Iris Ako Nástroj ...unclassified

Food safety and food quality. Proceedings of the scientific papers

2024

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Section: Bkb24 Inštrumentálna Zobrazovacia Technika Iris Ako Nástroj ...unclassified

Food safety and food quality. Proceedings of the scientific papers

2024

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“…This allows for them to have a better image quality than CMOS; thus, CCD cameras should be used for precision measurements [24]. However, recent articles indicate the quality difference between CMOS and CCD in regard to high-quality imaging is narrowing [25,26].…”

Section: Cameramentioning

confidence: 99%

From Rocks to Pixels: A Protocol for Reproducible Mineral Imaging and its Applications in Machine Learning

Back,

Bédard,

Maitre

et al. 2023

Minerals

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Identifying minerals is essential for geology, mineral exploration, engineering, and environmental sciences. Recent advances in machine learning have illustrated its potential as a fast, cost-effective, and reliable tool for identifying minerals from photographs or photomicrographs. However, in the recent literature, few studies have been dedicated to image acquisition. Machine learning generally requires reproducible, high-quality data to perform complicated tasks such as mineral identification to avoid common pitfalls. In this paper, we propose a practical image acquisition protocol for optical microscopes. This protocol focuses on ensuring reproducibility and enhancing image quality. To favor reproducibility, we detail dealing with camera errors, using reference color gauges, and establishing experimental parameters such as the external light source and temperature. For image enhancement, we explain the importance of lighting and its impact on machine learning precision, selection of the objective, and white balance calibration. In addition, we trialed the protocol on heavy mineral concentrate from till samples (20 species) with a typical deep learning model and it revealed that minor lighting modification (<5% difference in one channel) significantly increased misclassification rates: kyanite from 6.4% to 24.9% and monazite from 6.5% to 42.9%.

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“…UV light detection is traditionally performed using photomultipliers [25,26], thermometric detectors [27], narrow-bandgap semiconductor photodiodes [28,29], or chargecoupled device (CCD) detectors [30]. Photomultipliers provide high amplification and low signal noise but are fragile and space-consuming devices requiring high-power sources.…”

Section: Introductionmentioning

confidence: 99%

Laser Ablation of Silicon Nanoparticles and Their Use in Charge-Coupled Devices for UV Light Sensing via Wavelength-Shifting Properties

Lazauskas,

Gimžauskaitė,

Ilickas

et al. 2023

Nanomaterials

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This study explores the controlled laser ablation and corresponding properties of silicon nanoparticles (Si NP) with potential applications in ultraviolet (UV) light sensing. The size distribution of Si NPs was manipulated by adjusting the laser scanning speed during laser ablation of a silicon target in a styrene solution. Characterization techniques, including transmission electron microscopy, Raman spectroscopy, and photoluminescence analysis, were employed to investigate the Si NP structural and photophysical properties. Si NP produced at a laser scanning speed of 3000 mm/s exhibited an average diameter of ~4 nm, polydispersity index of 0.811, and a hypsochromic shift in the Raman spectrum peak position. Under photoexcitation at 365 nm, these Si NPs emitted apparent white light, demonstrating their potential for optoelectronic applications. Photoluminescence analysis revealed biexponential decay behavior, suggesting multiple radiative recombination pathways within the nanoscale structure. Furthermore, a thin film containing Si NP was utilized as a passive filter for a 2nd generation CCD detector, expanding the functionality of the non-UV-sensitive detectors in optics, spectrometry, and sensor technologies.

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CMOS and CCD image sensors for space applications

Cited by 11 publications

References 43 publications

Food safety and food quality. Proceedings of the scientific papers

Food safety and food quality. Proceedings of the scientific papers

From Rocks to Pixels: A Protocol for Reproducible Mineral Imaging and its Applications in Machine Learning

Laser Ablation of Silicon Nanoparticles and Their Use in Charge-Coupled Devices for UV Light Sensing via Wavelength-Shifting Properties

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