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 last decade has seen the development of a wide set of tools, such as wavefront
sha**, computational or fundamental methods, that allow us to understand and control …

Traditional optical imaging and sensing methods capture signals of interest by direct
sampling in the domain of interest such as by forming images on pixelated camera sensors …

With rapid developments in microscopy methods, highly versatile, robust and affordable
implementations are needed to enable rapid and wide adoption by the biological sciences …

High-speed widefield fluorescence imaging of neural activity in vivo is fundamentally limited
by fluctuations in recorded signal due to background contamination and stochastic noise. In …

Intracellular lasers are emerging as powerful biosensors for multiplexed tracking and
precision sensing of cells and their microenvironment. This sensing capacity is enabled by …