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CMOS Image Sensor Simulation for Automotive, Smartphone & Industrial Imaging

Pixel-Level Response · QE · Optical Crosstalk

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Overview

CMOS Image Sensor

CMOS image sensor simulation models the optical response of pixel arrays, microlens efficiency, angular sensitivity, cross-talk, and quantum efficiency — enabling optimised sensor architecture for automotive, smartphone, and industrial imaging applications. Accurate photon transport simulation through the full optical stack — from microlens array through colour filter array and passivation to the photodiode — predicts the spectral QE, CRA response, and MTF degradation from crosstalk before any silicon mask tape-out.

Industries Served

Consumer ElectronicsAutomotiveMedical DevicesAerospaceIndustrial EquipmentDefense

Deliverables

QE vs. Wavelength CurvesMicrolens Focusing EfficiencyAngular Sensitivity MapsMTF vs. Spatial Frequency

Key Aspects

What CMOS Image Sensor Involves

01

Microlens Array Optimisation

Simulating the focusing efficiency of microlens arrays over each pixel — optimising lens shape, pitch, and material to maximise light collection and reduce optical crosstalk.

02

Quantum Efficiency vs. Wavelength

Computing spectral quantum efficiency by tracing photons through the optical stack into the photodiode — guiding passivation, AR coating, and deep trench isolation design.

03

Angular Response & Chief Ray Angle

Evaluating the sensitivity drop at high chief ray angles (CRA) across the full image field — matching the sensor CRA characteristic to the camera lens design.

04

Pixel Crosstalk & MTF

Quantifying optical crosstalk between adjacent pixels and its impact on the modulation transfer function — guiding deep trench isolation geometry and colour filter design.

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