Cellular imaging of the human anterior eye is critical for understanding complex ophthalmic diseases, yet current techniques are constrained by a limited field of view or insufficient contrast. Here, ...

Optical neural networks (ONNs) are emerging as a promising neuromorphic computing paradigm for object recognition, offering unprecedented advantages in light-speed computation, ultra-low power ...

Classical physics theories suggest that when two or more electromagnetic waves interfere destructively (i.e., with their electric fields canceling each other out), they cannot interact with matter. In ...

Even in the best designs, noise and interference sneak in to reduce the signal-to-noise ratio (SNR), obscure desired signals, and impair measurement accuracy and repeatability. Digitizing instruments ...