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Chip-level mass detection for micro-LED displays based on regression analysis and deep learning.

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    This study introduces a new electroluminescence mass detection method for micro-light-emitting diode (micro-LED) displays. The technique accurately assesses light output power and radiation patterns, crucial for commercialization success.

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    Area of Science:

    • Materials Science
    • Electrical Engineering
    • Optoelectronics

    Background:

    • Micro-light-emitting diode (micro-LED) displays are a promising next-generation technology.
    • Commercialization is hindered by defects in light output power and radiation patterns.

    Purpose of the Study:

    • To develop an electroluminescence mass detection method for on-wafer micro-LED arrays.
    • To assess light output quality before substrate transfer.
    • To improve micro-LED display commercialization.

    Main Methods:

    • Electroluminescence imaging with indium-tin oxide (ITO) transparent conducting glass.
    • Circuit modeling and multi-variable regression for current calibration.
    • 2-D convolutional neural network (CNN) for radiation profile analysis.

    Main Results:

    • Achieved an average variation of 6.89% between predicted and measured optical power.
    • CNN model recognized 99.45% of functioning LEDs.
    • CNN model demonstrated 96.29% precision in predicting good devices.

    Conclusions:

    • The proposed electroluminescence mass detection method effectively evaluates micro-LED light output quality.
    • The calibration and CNN model significantly improve defect detection accuracy.
    • This method is vital for the successful commercialization of micro-LED displays.