GaN based microLED technology is particularly interesting for micro-displays for augmented reality. Beyond that, however, many additional applications exploiting the massively parallel nature of optical channels from microLED arrays are of interest. This includes microLED arrays for chip-based lensless microscopy, optogenetics, low power gas sensing, optical neuromorphic computing, high-speed maskless lithography or massively parallel line-of-sight communication in HPC centers (LIFI), replacing optical fibers. In order to drive large numbers of pixels at high frequencies in customized microLED arrays, the integration with a CMOS backplane chip is required.
The talk will mostly focus on chip processing and hybrid integration techniques for microLEDs and the opportunities for GaN based photonic integration in general, and GaN/CMOS integration in particular. First applications of specially designed microLED arrays in the field of optical neuromorphic computing will also be discussed. Test results include pattern recognition of hand-written digits from the MNIST dataset.
MicroLED arrays are arrangements of small, individually addressable LED pixels, which offer the possibility to obtain any desired illumination pattern with a high spatial and temporal control. In this work, we report on the advanced fabrication of micro- and nanoLED arrays and their system integration including electronics and graphical user interface. The combination of the chip-based LED array, electronics and software is called a MicroLED platform.
The light density output, homogeneity and switching behavior of the arrays are investigated. The system allows the modulation of the single light sources with a spatial resolution in the micron range and enables the programming of different light patterns at modulation frequencies up to the MHz range. The fully integrated system with microLED array and electronics is shown during presentation are now available as Structured Micro Illumination Platforms (SMILE) for applications from sensing to microscopy to quantum computing.
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