TowerJazz Panasonic Semiconductor Company Ltd. CMOS image sensor (CIS) technology meets the growing demand for optical sensors used in mobile imaging, high-end photography, security, and surveillance applications.

Extensive experience in the imaging field combined with strong in-house CIS technology development enables TPSCo to meet the market’s rigorous requirements for leading-edge imaging figures of merit and advanced sensor features.

Our worldwide recognized leadership in CMOS sensors and pixel technology is derived from our proven ability to supply sensors with lowest in-class dark current noise characteristics. TPSCo’s production proven processes are fine tuned to various pixel sizes and configurations to meet market segment requirements. Unlike other foundries that merely provide CIS process solutions, TPSCo also provides our customers a variety of pixel designs to choose from. Additionally, our skilled pixel and sensor engineering team will work with the customer engineering team to ensure a reliable customized design is tailored to the customer’s end market application. Finally, our advanced optical modeling capabilities allow very accurate and rapid design to Silicon proved results.

 

Dual light-pipe X-section–1.12μm pixel

The 1.12μm-pixel CIS process specifically has cutting edge technologies using our 65nm process, and is already under mass production for mobile and DSC applications.

Size (μm) Sharing Output line column Power supply CG at FD (uV/els) Linear Qsat (e) QE at Gpeak (%) PRNU Green (%) Image lag [e] Dark current @60C (ele/s) DSNU [ele/s]
1.12μm 2×1 0.5/1
(selectable)
2.8V 183 5350 74 1.2 <0.5 6.5 5.0
1.12μm 2×1 0.5/1
(selectable)
2.8V 183 7000 76 1.2 1.2 8.0 6.0

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Size (μm) Sharing Output line column Power supply CG at FD (uV/els) Linear Qsat (e) QE at Gpeak (%) PRNU Green (%) Image lag [e] Dark current @60C (ele/s) DSNU [ele/s]
2.8μm 1×1 1 3.3V 100 15000 66 0.4 < 0.5 25 12
3.2μm 1×1 1 3.3V 69 18900 66 0.4 < 0.5 32 13
3.8μm 1×1 1 3.3V 50 28000 66 0.4 < 0.5 44 17
3.8μm* 1×1 1 3.3V 50 32000 66 0.4 < 0.5 33 11

* need additional four masks

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