Image Sensor Color Filter Curvature for Pixel Light Path Control

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Solution Overview

Problem

Existing image sensors face challenges in optimizing the optical path for each pixel and reducing channel differences, particularly due to variations in the angle of incident light and differences in refractive indices for red, green, and blue light.

Innovation Solution

The image sensor incorporates a substrate with photoelectric conversion regions, color filters positioned on the substrate's surface, and a microlens layer. The upper surface of at least one color filter has a concave curved surface, with varying curvatures for different color filters to optimize the optical path and reduce channel differences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a microlens is used to focus incoming light, then pixel sensitivity is increased, but channel difference problems occur where light passes into adjacent pixels instead of the intended pixel

Engineering Contradiction:
Improvepixel sensitivityVSAvoidchannel difference
Core Design Contradiction:
Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

The patent applies different curvature radii to microlenses based on their position and function. Specifically, microlenses corresponding to different color filters (R, G, B) have different curvature radii, and microlenses in different regions (central vs. outer) have different curvature radii. This local differentiation optimizes light focusing for each pixel while preventing light from entering adjacent pixels, thus resolving the channel difference problem while maintaining high pixel sensitivity.

Inventive Principle:
Principle #3Local quality

2Adaptability or versatility

If color filters with different wavelengths (R, G, B) are used, then color detection is enabled, but focal points differ due to different refractive indices

Engineering Contradiction:
Improvecolor detection capabilityVSAvoidfocal point consistency
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent assigns different curvature radii to microlenses based on the color filter they correspond to. Since different colors (R, G, B) have different refractive indices and thus different focal points, the patent locally adjusts the curvature radius of each microlens to compensate for these differences. This ensures that all colors focus at the same point, maintaining manufacturing precision while preserving color detection capability.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the physical parameter of curvature radius for microlenses based on the wavelength characteristics of different colors. By adjusting the curvature radius parameter according to the specific color filter (R, G, or B), the patent compensates for refractive index differences and achieves consistent focal points across all colors, thereby resolving the focal point consistency issue while maintaining color detection versatility.

Inventive Principle:
Principle #35Parameter changes

3Area of stationary object

If the image sensor covers a large area, then more pixels are captured, but channel difference problems worsen in outer areas

Engineering Contradiction:
Improveimage sensor areaVSAvoidchannel difference in outer areas
Core Design Contradiction:
Area of stationary objectVSObject-generated harmful factors

Solution Approach 1:

The patent differentiates microlens curvature radii based on their position within the image sensor. Microlenses in the central region have one curvature radius, while microlenses in the outer region have a different curvature radius. This local adaptation compensates for the worsening channel difference in outer areas, allowing the image sensor to maintain high precision across its entire large area without suffering from the channel difference problem that typically affects outer regions.

Inventive Principle:
Principle #3Local quality

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This configuration optimizes the optical path for each pixel, reduces channel differences, and improves sensitivity and auto-focus contrast, particularly in the outer areas of the image sensor.

Implementation Method 1

A microlens serves to focus incoming light into the positive electrode region

Methodology Applied
Scientific EffectRefraction: Refraction

Implementation Method 2

wavelengths of red (R), green (G), and blue (B) light are different, so after red, green, and blue light passes through microlenses

Methodology Applied
Scientific EffectAbsorption (EM radiation): Absorption (EM radiation)

Implementation Method 3

The photodiode plays a role of converting incident light into an electrical signal

Methodology Applied
Scientific EffectPhotoelectric effect: Photoelectric Effect

Data Source

PatentUS20250089390A1Image sensor and manufaturing method thereof
Publication Date: 2025.03.13 SAMSUNG ELECTRONICS CO LTD
  • US20250089390A1 patent drawing
  • US20250089390A1 patent drawing
  • US20250089390A1 patent drawing

AI summary

An image sensor including a first substrate including first and second surfaces facing each other and a plurality of photoelectric conversion regions, a plurality of color filters positioned on the second surface of the substrate, the plurality of color filters including a first color filter, a second color filter, and a third color filter; and a microlens layer including a plurality of microlenses and positioned to overlap each of the color filters. An upper surface of at least one of the first color filter, the second color filter, or the third color filter has a concave curved surface, and curvature of the upper surface of the third color filter is different from curvature of the upper surface of the second color filter or curvature of the upper surface of the first color filter.