Due to their unique ability to actively move, micro/nanomotors offer the possibility of
breaking through the limitations of traditional passive drug delivery systems for the treatment …

Compressed sensing (CS) is a signal processing approach that solves ill-posed inverse
problems, from under-sampled data with respect to the Nyquist criterium. CS exploits …

The exciting advancements that we are currently witnessing in terms of novel materials and
synthesis approaches are leading to the development of colloidal nanoparticles (NPs) with …

Significance: Biomedical optics system design, image formation, and image analysis have
primarily been guided by classical physical modeling and signal processing methodologies …

Different imaging solutions have been proposed over the last few decades, aimed at three-
dimensional (3D) space reconstruction and obstacle detection, either based on stereo-vision …

This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …

Thrombus causes insufficient blood flow and ischemia damages to brain and heart, leading
to life-threatening cardio-cerebrovascular diseases. Development of efficient antithrombotic …

Perturbation Monte Carlo (pMC) has been previously proposed to rapidly recompute optical
measurements when small perturbations of optical properties are considered, but it was …

The development of real-time, wide-field and quantitative diffuse optical imaging methods to
visualize functional and structural biomarkers of living tissues is a pressing need for …

Significance: Spatial frequency domain imaging (SFDI) is a diffuse optical measurement
technique that can quantify tissue optical absorption (μa) and reduced scattering (μ s′) on a …