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A compact assembly of photodetectors, incorporating specialized surface nanostructures, holds the potential to significantly enhance imaging capabilities by acquiring multi-dimensional data, including spectral profiles, temporal responses, and spatial resolution. This advancement is achievable by engineering individual ultrafast detectors exhibiting distinct responses to identical illumination while leveraging artificial intelligence (AI)-driven computational imaging. This talk will demonstrate how these capabilities can substantially miniaturize the physical dimensions of existing imaging and spectroscopic systems and elevate overall system sensitivity. These advancements can be applied to various fields, including noninvasive real-time detection and monitoring of molecules for medical diagnostics, biological sensing, and food quality assessment.
Islam et al. (Fri,) studied this question.
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