2010 International Electron Devices Meeting 2010
DOI: 10.1109/iedm.2010.5703358
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A leading-edge 0.9µm pixel CMOS image sensor technology with backside illumination: Future challenges for pixel scaling

Abstract: IntroductionPixel scaling trend on CMOS image sensor (CIS) calls for a novel technology to improve sensor's optical response being blocked or interfered by metal layers in traditional front-side illumination (FSI) sensor structure. Recently, backside illumination (BSI) sensor technology gradually becomes the main-stream CIS process to achieve virtually 100% fill-factor to boost the optical response and enhance optical angular response due to a shorter optical path. In this paper, a leading-edge N65 0.9μm pixel… Show more

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Cited by 20 publications
(13 citation statements)
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“…Backside illumination technology has been developed and has enabled drastic S/N improvement [ 5 , 6 ]. Stacked CMOS image sensor (CIS) chips enable a more flexible manufacturing process dedicated to image sensors [ 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…Backside illumination technology has been developed and has enabled drastic S/N improvement [ 5 , 6 ]. Stacked CMOS image sensor (CIS) chips enable a more flexible manufacturing process dedicated to image sensors [ 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…The application of back-side illumination technology is proposed for epiretinal implants, in order to maximize the fill factor of the pixel which is defined as the ratio of the photosensitive area of the pixel to the whole pixel layout (including readout transistors). Since in the backside illuminated technology [17,18], the photosensitive area is placed in the back side of silicon which does not contain the readout transistors, it can extend the quantum efficiency which is the percentage of photogenerated carriers to the number of photons received by the image sensor. Fig.…”
Section: Introductionmentioning
confidence: 99%
“…In Table 1 , the theoretical limits of the intensity, spatial and temporal resolutions are compared with the state-of-the-art resolution limits. Currently, the advanced image sensors have achieved the lowest readout noise level of about 0.3 e − rms [ 3 , 4 ], and the minimum pixel size of about 1 µm [ 5 , 6 , 7 ]. The sensitivity and the spatial resolution are close to the theoretical limits.…”
Section: Introductionmentioning
confidence: 99%