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- W4309671661 abstract "Abstract Advanced machine intelligence is empowered not only by the ever-increasing computational capability for information processing but also by sensors for collecting multimodal information from complex environments. However, simply assembling different sensors can result in bulky systems and complex data processing. Herein, we show that a complementary metal-oxide-semiconductor (CMOS) imager can be transformed into a compact multimodal sensing platform through dual-focus imaging. By combining lens-based and lensless imaging, visual information, chemicals, temperature, and humidity can be detected with the same chip and output as a single image. As a proof of concept, we equipped the sensor on a micro vehicle and demonstrated multimodal environmental sensing and mapping. We also developed a multimodal endoscope and achieved simultaneous imaging and chemical profiling along a porcine digestive tract. The multimodal CMOS imager is compact, versatile, and extensible and can be widely applied in microrobots, in vivo medical apparatuses, and other microdevices." @default.
- W4309671661 created "2022-11-29" @default.
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- W4309671661 date "2022-11-22" @default.
- W4309671661 modified "2023-09-30" @default.
- W4309671661 title "A multimodal sensing CMOS imager based on dual-focus imaging" @default.
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- W4309671661 doi "https://doi.org/10.21203/rs.3.rs-2296095/v1" @default.
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