ArticleNature photonics2026
Large-scale compressive microscopy via diffractive multiplexing across a sensor array.
Article in Nature photonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Microscopes face a trade-off between spatial resolution, field of view and frame rate-improving one of these properties typically requires sacrificing others, owing to the limited spatiotemporal throughput of the sensor. To overcome this, we propose a new microscope that achieves snapshot gigapixel-scale imaging with a sensor array and a diffractive optical element. We improve spatiotemporal throughput in two ways. First, we capture data with an array of 48 sensors, resulting in 48× more pixels than a single sensor. Second, we use point spread function engineering and compressive sensing algorithms to fill in the missing information from the gaps between the individual sensors in the array, further increasing the spatiotemporal throughput of the system by an additional >5.4×. The array of sensors is modelled as a single large-format 'super sensor', with erasures corresponding to the gap areas between sensors. The sensor array is placed at the output of a (nearly) 4
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