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Halide Perovskite Photodiode Integrated CMOS Imager
Wenya Song1, Jubin Kang1,2,3, Karim Elkhouly1,4
1Interuniversity Microelectronics Center (imec), Leuven 3001, Belgium.
High-resolution 2D and 3D imaging is achieved using perovskite photodiodes integrated with silicon read-out integrated circuits. This thin-film photodiode technology enables advanced depth sensing for applications like augmented reality.
Area of Science:
- Optoelectronics
- Materials Science
- Semiconductor Devices
Background:
- Thin-film photodiodes (TFPDs) offer unique optoelectronic properties and monolithic processability, complementing traditional CMOS image sensors.
- Halide perovskites exhibit excellent optoelectronic characteristics, including high absorption coefficients, long carrier diffusion lengths, and high carrier mobility, making them promising for photodiode applications.
Purpose of the Study:
- To demonstrate high-resolution 2D and 3D imaging capabilities using perovskite photodetecting material integrated with a silicon read-out integrated circuit (ROIC).
- To leverage the fast charge transport properties of perovskite photodiodes (PePDs) for advanced depth sensing applications.
Main Methods:
- Integration of perovskite photodiode material onto a silicon ROIC to create a hybrid imaging sensor.
- Implementation of a top-electrode controlled indirect time-of-flight (iToF) operation for 3D imaging, utilizing the fast switching capabilities of the TFPD pixel.
Main Results:
- Achieved high-resolution 2D imaging through the integration of PePDs on Si ROIC.
- Demonstrated depth sensing capabilities enabled by the fast carrier transport properties of the PePD.
- Successfully implemented 3D imaging using the iToF method, showcasing the sensor's potential for spatial awareness.
Conclusions:
- Perovskite photodiodes on Si ROIC represent a significant advancement for TFPD imaging platforms, combining excellent optoelectronic performance with CMOS technology.
- This hybrid technology enables not only conventional 2D imaging but also advanced 3D sensing.
- Potential applications include automotive systems, augmented reality (AR), and virtual reality (VR) due to enhanced imaging and depth perception capabilities.
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