Low-Noise CMOS Image Sensors

Boukhayma, Assim

doi:10.1007/978-3-319-68774-2_2

Cited by 6 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Belief in the potential of this configuration is in part motivated by the experimental observation that a phosphor screen impacted by a positron beam emits significantly more light than when it is hit by an electron beam of similar energy and intensity; effect that is more pronounced at lower energies [17]. On top of that, this new approach to beam imaging would exploit the huge progress made in the image sensor technology in the last 30 years: spurred by the popularization of digital cameras and smartphones, the industry has achieved orders of magnitudes of improvements in terms of pixel count, resolution, sensitivity, noise and cost [18,19]. The sensitivity of modern image sensors might realistically be sufficient to detect positron-induced luminescence without the need for an electron-cascade amplification stage.…”

Section: Introductionmentioning

confidence: 99%

Imaging low-energy positron beams in real-time with unprecedented resolution

Guatieri,

Berghold,

Burwitz

et al. 2023

Preprint

View full text Add to dashboard Cite

Particle beams focused to micrometer-sized spots play a crucial role in forefront research using low-energy positrons. Their expedient and wide application, however, requires highly-resolved, fast beam diagnostics. We have developed two different methods to modify a commercial imaging sensor to make it sensitive to low-energy positrons. The first method consists in removing the micro-lens array and Bayer filter from the sensor surface and depositing a phosphor layer in their place. This procedure results in a detector capable of imaging positron beams with energies down to a few tens of eV, or an intensity as low as 35 e+ /s/mm2 when the beam energy exceeds 10 keV. The second approach omits the phosphor deposition; with the resulting device we succeeded in detecting single positrons with energies upwards of 6 keV and efficiency up to 93%. The achieved spatial resolution of 0.97 μm is unprecedented for real-time positron detectors.

show abstract

Section: Introductionmentioning

confidence: 99%

Imaging low-energy positron beams in real-time with unprecedented resolution

Guatieri,

Berghold,

Burwitz

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Belief in the potential of this configuration is in part motivated by the experimental observation that a phosphor screen impacted by a positron beam emits significantly more light than when it is hit by an electron beam of similar energy and intensity; effect that is more pronounced at lower energies 17 . On top of that, this new approach to beam imaging would exploit the huge progress made in the image sensor technology in the last 30 years: spurred by the popularization of digital cameras and smartphones, the industry has achieved orders of magnitudes of improvements in terms of pixel count, resolution, sensitivity, noise and cost 18,19 . The sensitivity of modern image sensors might realistically be sufficient to detect positron-induced luminescence without the need for an electron-cascade amplification stage.…”

mentioning

confidence: 99%

Imaging low-energy positron beams in real-time with unprecedented resolution

Berghold,

Burwitz,

Mathes

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Particle beams focused to micrometer-sized spots play a crucial role in forefront research using low-energy positrons. Their expedient and wide application, however, requires highly-resolved, fast beam diagnostics. We have developed two different methods to modify a commercial imaging sensor to make it sensitive to low-energy positrons. The first method consists in removing the micro-lens array and Bayer filter from the sensor surface and depositing a phosphor layer in their place. This procedure results in a detector capable of imaging positron beams with energies down to a few tens of eV, or an intensity as low as $${35}\,{\hbox {e}^+/\hbox {s/mm}^{2}}$$ 35 e + / s/mm 2 when the beam energy exceeds 10 $${\hbox {keV}}$$ keV . The second approach omits the phosphor deposition; with the resulting device we succeeded in detecting single positrons with energies upwards of $${6}\,{\hbox {keV}}$$ 6 keV and efficiency up to 93%. The achieved spatial resolution of 0.97 $$\upmu \hbox {m}$$ μ m is unprecedented for real-time positron detectors.

show abstract

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

et al. 2021

Self Cite

View full text Add to dashboard Cite

After decades of research on non-invasive glucose monitoring, invasive devices based on finger blood sampling are still the predominant reference for diabetic patients for accurately measuring blood glucose levels. Meanwhile, research continues improving point-of-care technology toward the development of painless and more accurate devices. Raman spectroscopy is well-known as a potentially valuable and painless approach for measuring glucose levels. However, previous Raman studies deal with glucose concentrations that are still order of magnitudes away with respect to human tissues’ physiological concentrations, or they propose enhancement methodologies either invasive or much complex to assure sufficient sensitivity in the physiological range. Instead, this study proposes an alternative non-enhanced Raman spectroscopy approach sensitive to glucose concentrations from 1 to 5 mmol/l, which correspond to the lowest physiopathological glucose level in human blood. Our findings suggest a very selective detection of glucose with respect to other typical metabolites, usually interfering with Raman spectroscopy’s glucose detection. We validate the proposed univariate sensing methodology on glucose solutions mixed with lactate and urea, the two most common molecules found in human serum with concentrations similar to glucose and similar features in the Raman spectra. Our findings clearly illustrate that reliable detection of glucose by Raman spectroscopy is feasible by exploiting the shifted peak at 1125 ± 10 cm–1 within physiopathological ranges.

show abstract

Low-Noise CMOS Image Sensors

Cited by 6 publications

References 28 publications

Imaging low-energy positron beams in real-time with unprecedented resolution

Imaging low-energy positron beams in real-time with unprecedented resolution

Imaging low-energy positron beams in real-time with unprecedented resolution

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

Contact Info

Product

Resources

About