Complementary Metal Oxide Semiconductor (CMOS) image sensors have widely been used due to the advantages in terms of low power consumption, on-chip signal processing capability, and a comparatively low cost. The market research institutes predicted that the demand for CMOS image sensors will dramatically increase over the next few years. Although the demand continues to increase, the market is ...

A new CMOS-based image sensor that is intrinsically compatible with onchip CMOS circuitry is reported. The new CMOS active pixel image sensor achieves low noise, high sensitivity, X-Y addressability, and has simple timing requirements. The image sensor was fabricated using a 2 pm p-well CMOS process, and consists of a 128 x 128 array of 40 pm x 40 pm pixels. The CMOS image sensor technology ena...

Particle swarm optimization algorithm in solving complex functions, such as slow convergence, accuracy is not high, easily falling into local optimum problem. Based on the chaos optimization is introduced into particle swarm optimization algorithm, given the chaotic particle swarm optimization algorithm. In order to improve the image quality of CMOS image sensor, the image of the main noise sou...

The ability to reproduce a high-quality image depends strongly on the image sensor light sensitivity. This sensitivity depends, in turn, on the materials, the circuitry, and the optical properties of the pixel. We calculate the optical efficiency of a complementary metal oxide semiconductor (CMOS) image sensor pixel by using a geometrical-optics phase-space approach. We compare the theoretical ...

A complementary metal oxide semiconductor (CMOS) image sensor is an intriguing technology for the development of a novel biosensor. Indeed, the CMOS image sensor mechanism concerning the detection of the antigen-antibody (Ag-Ab) interaction at the nanoscale has been ambiguous so far. To understand the mechanism, more extensive research has been necessary to achieve point-of-care diagnostic devi...