The goal of spectral imaging is to capture the spectral signature of a target. Traditional
scanning method for spectral imaging suffers from large system volume and low image …

Imaging can take many forms—from optical microscopes and telescopes through
ultrasonography to X-ray tomography. However, regardless of the imaging modality, the …

Lensless imaging provides opportunities to design imaging systems free from the constraints
imposed by traditional camera architectures. Due to advances in imaging hardware …

A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …

Hyperspectral imaging is useful for applications ranging from medical diagnostics to
agricultural crop monitoring; however, traditional scanning hyperspectral imagers are …

Diffractive achromats (DAs) promise ultra-thin and light-weight form factors for full-color
computational imaging systems. However, designing DAs with the optimal optical transfer …

We demonstrate a versatile thin lensless camera with a designed phase-mask placed at sub-
2 mm from an imaging CMOS sensor. Using wave optics and phase retrieval methods, we …

This roadmap article focuses on spatially incoherent digital holography (IDH).
Representative IDH methods such as optical scanning holography (OSH), Fresnel …

Deconvolution can be used to obtain sharp images or volumes from blurry or encoded
measurements in imaging systems. Given knowledge of the system's point spread function …

Lensless imaging has emerged as a potential solution towards realizing ultra-miniature
cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the …