Allinson, Nigel and Anaxagoras, Thalis and Aveyard, J. and Arvanitis, C. and Bates, R. and Blue, A. and Bohndiek, S. and Cabello, J. and Chen, L. and Clark, A. and Clayton, C. and Cook, E. and Cossins, A. and Crooks, J. and El-Gomati, M. and Evans, G. M. and Faruqi, W. and French, M. and Gow, J. and Greenshaw, T. and Greig, T. and Guerrini, N. and Harris, E.J. and Henderson, R. and Holland, A. and Jeyasundra, G. and Karadaglic, D. and Konstantinidis, A. and Liang, H. X. and Maini, K. M. S. and McMullen, G. and Olivo, A. and O'Shea, V. and Osmond, J. and Ott, R. J. and Prydderch, M. and Qiang, L. and Riley, G. and Royle, G. and Segneri, G. and Speller, R. and Symonds-Tayler, J. R. N. and Triger, S. and Turchetta, R. and Venanzi, C. and Wells, K. and Zha, X. and Zin, H. (2009) The multidimensional integrated intelligent imaging project (MI-3). Nuclear Instruments and Methods in Physics Research Section A: Accelerators, spectrometers, Detectors and Associated Equipment, 604 (1-2). pp. 196-198. ISSN 0168-9002
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Abstract
MI-3 is a consortium of 11 universities and research laboratories whose mission is to develop complementary metal-oxide semiconductor (CMOS) active pixel sensors (APS) and to apply these sensors to a range of imaging challenges. A range of sensors has been developed: On-Pixel Intelligent CMOS (OPIC)—designed for in-pixel intelligence; FPN—designed to develop novel techniques for reducing fixed pattern noise; HDR—designed to develop novel techniques for increasing dynamic range; Vanilla/PEAPS—with digital and analogue modes and regions of interest, which has also been back-thinned; Large Area Sensor (LAS)—a novel, stitched LAS; and eLeNA—which develops a range of low noise pixels. Applications being developed include autoradiography, a gamma camera system, radiotherapy verification, tissue diffraction imaging, X-ray phase-contrast imaging, DNA sequencing and electron microscopy.
| Item Type: | Article |
|---|---|
| Additional Information: | MI-3 is a consortium of 11 universities and research laboratories whose mission is to develop complementary metal-oxide semiconductor (CMOS) active pixel sensors (APS) and to apply these sensors to a range of imaging challenges. A range of sensors has been developed: On-Pixel Intelligent CMOS (OPIC)—designed for in-pixel intelligence; FPN—designed to develop novel techniques for reducing fixed pattern noise; HDR—designed to develop novel techniques for increasing dynamic range; Vanilla/PEAPS—with digital and analogue modes and regions of interest, which has also been back-thinned; Large Area Sensor (LAS)—a novel, stitched LAS; and eLeNA—which develops a range of low noise pixels. Applications being developed include autoradiography, a gamma camera system, radiotherapy verification, tissue diffraction imaging, X-ray phase-contrast imaging, DNA sequencing and electron microscopy. |
| Keywords: | Active pixel sensors, Complementary metal-oxide semiconductor |
| Subjects: | G Mathematical and Computer Sciences > G740 Computer Vision G Mathematical and Computer Sciences > G790 Artificial Intelligence not elsewhere classified |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Tammie Farley |
| Date Deposited: | 19 Apr 2012 15:14 |
| Last Modified: | 19 Apr 2012 15:14 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/5027 |
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