Mr. TJ Gilleran Profile

TJ Gilleran

at Ansys Inc

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Publications (2)

Proceedings Article | 17 June 2024 Presentation + Paper

Design and virtual validation of CMOS image sensor camera

Sandra Gely, Mina Nazari, TJ Gilleran, Sebastien Noygues, Charly Meyer, Federico Duque Gomez, Taylor Robertson, Michael Cheng, David Vega, Angel Morales, Chih-Hao Chen, Dong Sub Shin, Maxime Cailler

Proceedings Volume 13019, 130190C (2024) https://doi.org/10.1117/12.3017390

KEYWORDS: Cameras, Imaging systems, Design, CMOS sensors, Image quality, Image sensors, CMOS cameras, Image processing

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CMOS image sensor cameras are widely used in various applications, across industries such as aerospace and defense, automotive, and consumer electronics. With the emergence of high-resolution cameras, obtaining the best image quality is becoming a must-have requirement. There is a growing need to design and optimize each camera component considering image quality of the full system in the targeted application environment. Accurate modeling of such components can be challenging due to multiscale structures going from nanoscale photonics to macroscale optics. To mitigate the modeling problem, Ansys provides ray and wave optics tools to simulate and optimize the design of the different modules of the camera system (lens imaging system, nanoscale pixel structure, digital processing) in a virtual environment with different illuminations, scenes, and scenarios, and evaluate the quality of the complete camera system. The lens system is designed with the optical design software Ansys Zemax OpticStudio. Then, an optical Reduced Order Model (ROM) of this lens system is exported to Ansys Speos, a ray tracing software embedded in a 3D CAD environment that provides fast yet accurate simulation while accounting for environmental conditions, including artificial and natural light sources. In parallel, Ansys Lumerical provides the quantum efficiency of the sensor by combining FDTD, a fully vectorial 3D electromagnetic solver, for the light absorption and CHARGE, a 3D charge transport solver, for the probability of collection of photogenerated charges. Light exposure from the 3D scene through the lens system onto the sensor is combined with the quantum efficiency of the sensor to generate raw images. Finally, digital processing allows the generation of the final image. The ROM has been validated by comparing it against full lens system simulations. The MTF50 differs by less than 10% between the models, and the ROM offers between 10 and 100 times speed performance while maintaining accuracy.

Proceedings Article | 12 March 2024 Poster

Virtual prototyping of CMOS image sensor camera

Charly Meyer, Sebastien Noygues, Mina Nazari, TJ Gilleran, Sandra Gely, Michael Cheng, David Vega, Angel Morales, Chih-Hao Chen, Taylor Robertson, Dong Sub Shin, Federico Duque Gomez

Proceedings Volume PC12880, PC128800L (2024) https://doi.org/10.1117/12.3002367

KEYWORDS: Cameras, CMOS sensors, CMOS cameras, Prototyping, Imaging systems, 3D applications, Quantum photonics, Quantum light, Quantum efficiency, Optical simulations

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