Single-pixel microscopy is an imaging technique that forms images using a single detector instead of a camera. While powerful, versatile and allows simultaneous multidimensional image acquisition, it often requires many measurements, making imaging slow and inefficient. This work asks how measurement strategies can be optimized to reduce acquisition time without sacrificing image quality.

Augmented Reality (AR) glasses are rapidly evolving, but placing a camera directly in the user's field of view without blocking their vision remains a significant challenge. See-through cameras, such as the LightguideCam, solve this by hiding the camera mechanism inside a transparent prism. However, this compact design creates a new problem: internal light reflections cause severe blurring and complex visual artifacts in the captured images. The central question of this study was: How can we reconstruct crystal-clear images from this distorted sensor data in real-time, making the invisible camera truly usable?

Advanced Imaging (AI) is inviting nominations from across the globe for the “Advanced Imaging Early Career Award”, recognizing the scientific excellence of early career researchers from the community of imaging science and technology.

Reliable investigation of cellular morphology and intercellular interactions requires accurate three-dimensional (3D) visualization, and capturing their dynamic processes remains one of the core goals of life science. Traditional wide-field microscopy generally provides only two-dimensional (2D) projections. Although scanning-based 3D imaging techniques such as confocal and light-sheet microscopy can acquire volumetric data, they face inherent trade-offs between imaging speed and phototoxicity in long-term live-cell imaging. Light-field microscopy (LFM) captures both spatial and angular information in a single exposure, enabling rapid volumetric imaging. However, its spatial resolution is limited by non-uniform sampling. Fourier light-field microscopy (FLFM) enhances resolution and sampling uniformity by partitioning the pupil plane into sub-apertures to obtain multi-view information, becoming an emerging direction in light-field imaging.