We realized ultrafast three-dimensional tracking of multiple nanodiamond sen-sors using a digital micromirror device, and therefore achieved three-dimensional dynami-cal multi-point quantum sensing. This work enables a broad range of applications such as multi-point temperature monitoring in live cells.
Nitrogen-vacancy (NV) centres are exceptional solid-state quantum sensors with optically addressable spins. With room-temperature operability and biocompatibility, functionalised NV centres in nanodiamonds facilitate atomic-scale tracking and real-time monitoring of physical and chemical properties within living systems [1]. Conventionally, these systems work by addressing stochastically-positioned defects with a complex bulk-optic microscope [2] or using a single scanning probe, limited in scalability and the ability to capture spatial and temporal information simultaneously.
Widefield quantum diamond microscopy (WQDM) based on Kohler illumination has been widely adopted in the field of quantum sensing; however, practical applications are still limited by issues such as unavoidable photodamage and unsatisfied spatial-resolution. Here, we design and develop a super-resolution-enabled WQDM using a digital micromirror device (DMD)-based structured illumination microscope. With the rapidly programmable illumination patterns, we have first demonstrated how to mitigate phototoxicity when imaging nanodiamonds in cell samples. As a showcase, we have performed the super-resolved quantum sensing measurements of two individual nanodiamonds not even distinguishable with conventional WQDM. The DMD-powered WQDM presents not only excellent compatibility with quantum sensing solutions, but also strong advantages in high imaging speed, high resolution, low phototoxicity, and an enhanced signal-to-background ratio, making it a competent tool for applications in demanding fields such as biomedical science.
Ultrafast temperature field detection and identification is crucial for applications ranging from environmental sensing and biomedical monitoring to thermal management in advanced energy systems. Conventional temperature sensors-comprising discrete sensing arrays, data storage units, and external processors-suffer from high latency due to slow sensor response, repeated analog-to-digital conversions, and extensive data transmission inherent to von Neumann architectures. Here, we report a diamond array-based quantum sensor that integrates temperature sensing and real-time processing within a unified in-sensor computing (ISC) architecture. Exploiting the strong linear correlation between temperature and the zero-field splitting of nitrogen-vacancy (NV) color center centers in diamond, we realize a fixed-frequency temperature sensor with ultrafast response and tunable responsivity, enabled by multi-parameter microwave modulate. Matrix-vector multiplication of temperature intensity and responsivity, combined with Kirchhoff's current summation, enables direct execution of neural-network-style computations on sensed data. The proposed system achieves a single-shot detection and identification latency of just 196.8 μs, as experimentally validated. This work demonstrates a scalable ISC-enabled quantum sensing paradigm, offering a promising route toward high-speed, low-power intelligent temperature field detection.