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Alcalde Bessia, F., M. Pérez, M. Gomez Berisso, N. Piunno, H. Mateos, F. J. Pomiro, I. Sidelnik, J. J. Blostein, M. Sofo Haro, and J. Lipovetzky. "X-ray micrographic imaging system based on COTS CMOS sensors." In 2017 Argentine Conference of Micro-Nanoelectronics, Technology and Applications (CAMTA), 1–4. 2017 Argentine Conference of Micro-Nanoelectronics, Technology and Applications (CAMTA)., 2017.
Abstract: This paper presents the use of Commercial Off The Shelf CMOS image sensors for the acquisition of X-ray images with high spatial resolution. The X-ray images, with application in biology, electronic components inspection or paleontology research, are obtained with 8 keV photons from a Cu tube. The quantum efficiency of the detector is estimated using attenuation lengths of photons in the sensor, and compared to traditional scintillator conversion layers.
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Alcalde Bessia, F., M. Pérez, M. Sofo Haro, I. Sidelnik, J. J. Blostein, S. Suárez, P. Pérez, M. Gómez Berisso, and J. Lipovetzky. "Displacement Damage in CMOS Image Sensors After Thermal Neutron Irradiation." IEEE Transactions on Nuclear Science 65, no. 11 (2018): 2793–2801.
Abstract: In this paper, CMOS image sensors were exposed to thermal neutrons observing an increase in the dark signal of many pixels. The effect was found to be similar to the damage caused by alpha particles irradiation. Rutherford backscattering spectroscopy (RBS) and SIMNRA simulation were used to confirm that the sensors contain boron in the insulation layers. The damage produced by thermal neutrons is explained as displacement damage caused by alpha particles and lithium-7 ions in the silicon active volume of the sensors after boron-10 thermal neutron capture.
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Galimberti, C. L., F. Alcalde Bessia, M. Perez, M. Gómez Berisso, M. Sofo Haro, I. Sidelnik, J. J. Blostein, H. Asorey, and J. Lipovetzky. "A Low Cost Environmental Ionizing Radiation Detector Based on COTS CMOS Image Sensors." In 2018 IEEE Biennial Congress of Argentina (ARGENCON), 1–6. 2018 IEEE Biennial Congress of Argentina (ARGENCON)., 2018.
Abstract: We present the development of a system for the detection of ionizing radiation based on the Omnivision OV5647 Commercial Off The Shelf image sensor. The data is read and processed in real-time using a Raspberry Pi 3 computer. The amount of charge and geometrical characteristics of the cluster of pixels exited when a particle interacts with the sensor is recorded and used to identify the type of incoming particle, distinguishing between alpha particles and X-ray or gamma photons. The software was programmed in C using the OpenCV library. The system was tested with 137Cs and 241Am radiation sources.
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Perez, M., F. Alcalde, M. S. Haro, I. Sidelnik, J. J. Blostein, M. Gomez Berisso, and J. Lipovetzky. "Implementation of an ionizing radiation detector based on a FPGA-controlled COTS CMOS image sensor." In 2017 XVII Workshop on Information Processing and Control (RPIC), 1–6. 2017 XVII Workshop on Information Processing and Control (RPIC)., 2017.
Abstract: This work presents the development and implementation of an ionizing radiation detector based on a commercial off the shelf CMOS image sensor and a FPGA. The response of the system was tested in irradiations with gamma photons, beta and alpha particles using different configurations of the image sensor. Finally, we analyze the possible uses of such configurations in the discrimination of events produced by alpha particles in mixed radiation fields.
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Perez, M., J. Lipovetzky, M. Sofo Haro, I. Sidelnik, J. J. Blostein, F. Alcalde Bessia, and M. Gomez Berisso. "Particle detection and classification using commercial off the shelf CMOS image sensors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 827 (2016): 171–180.
Abstract: Abstract
In this paper we analyse the response of two different Commercial Off The shelf CMOS image sensors as particle detectors. Sensors were irradiated using X-ray photons, gamma photons, beta particles and alpha particles from diverse sources. The amount of charge produced by different particles, and the size of the spot registered on the sensor are compared, and analysed by an algorithm to classify them. For a known incident energy spectrum, the employed sensors provide a dose resolution lower than microGray, showing their potentials in radioprotection, area monitoring, or medical applications.
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Sofo Haro, M., F. Alcalde Bessia, M. Pérez, J. J. Blostein, D. F. Balmaceda, M. Gómez Berisso, and J. Lipovetzky. "Soft X-rays spectroscopy with a commercial CMOS image sensor at room temperature." Radiation Physics and Chemistry 167 (2020): 108354.
Abstract: Besides their application in point and shoot cameras, webcams, and cell phones, it has been shown that CMOS image sensors (CIS) can be used for dosimetry, X-ray and neutron imaging applications. In this work we will discuss the application of an ON Semiconductor MT9M001 CIS, in low energy X-ray spectroscopy. The device is a monochromatic front-side illuminated sensor, very popular in consumer electronics. In this work we introduce the configuration selected for the mentioned sensor, the image processing techniques and event selection criteria, implemented in order to measure the X-ray energy in the range from 1-10 keV. Several fluorescence lines of different samples have been resolved, and for first time the line resolution have been measured and analyzed. We achieved a FWHM of 232 eV at 6.4 keV, and we concluded that incomplete charge collection (ICC) of the charge produced by the X-ray contributes to the resolution, being this effect more important at higher X-ray energies. The results analyzed in this work indicate that the mentioned CIS are specially suitable for X-ray applications in which energy and spatial resolutions are simultaneously required.
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