An image sensor pixel structure for preventing image dispersion and its manufacturing method

Abstract

The invention discloses an image sensor pixel structure for preventing image diffusion and a manufacture method thereof. The image sensor pixel structure at least comprises a photodiode placed in a semiconductor base body, a shallow slot isolation region arranged on one side of the photodiode, two shallow slot isolation regions arranged on the other side of the photodiode, and a transistor drain terminal active region arranged between the two shallow slot isolation regions on the other side of the photodiode and connected with a power source, wherein a deep P-shaped well region is arranged on the shallow slot isolation region arranged the one side of the photodiode, and an N-shaped well region and a deep P-shaped well region are sequentially arranged on the transistor drain terminal active region and enable an overflow electric charge current guidance channel to exist among the transistor drain terminal active region and two portions of the photodiode, which are respectively adjacent to two sides of the transistor drain terminal active region. The image sensor pixel structure for preventing the image diffusion and the manufacture method thereof can prevent collected images from diffusing, and simultaneously eliminate the problem that colors of peripheral pixels of strong light images are distorted.

Description

technical field [0001] The invention relates to the field of semiconductor technology, in particular to an image sensor pixel structure for preventing image dispersion and a manufacturing method thereof. Background technique [0002] Image sensors have been widely used in digital cameras, mobile phones, medical devices, automobiles and other applications. In particular, the rapid development of CMOS (Complementary Metal Oxide Semiconductor) image sensor technology has made people have higher requirements for the output image quality of image sensors. [0003] In the image sensor chip in the prior art, the bright spots or bright line areas in the collected images are larger than the actual object image size. For example, when the photos taken contain bright objects such as the sun, car headlights, incandescent lamps, or strong reflections, these objects will be larger than the actual size, and the bright areas such as the sun and lights will become much larger than the actua...

AI Technical Summary

Problems solved by technology

This will make the crosstalked pixel signal unable to reflect the real light, cause the number of saturated pixels to increase than the actual one, and cause image color distortion and image dispersion phenomenon

Therefore, the image sensor with image dispersion phenomenon cannot correctly collect the object information near the strong light object, thereby reducing the quality of the image

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