Light-sheet fluorescence microscopy has transformed our ability to visualize and
quantitatively measure biological processes rapidly and over long time periods. In this …

The proliferation of microscopy methods for live-cell imaging offers many new possibilities
for users but can also be challenging to navigate. The prevailing challenge in live-cell …

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

A common goal of fluorescence microscopy is to collect data on specific biological events.
Yet, the event-specific content that can be collected from a sample is limited, especially for …

Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …

Computational imaging systems algorithmically post-process acquisition images either to
reveal physical quantities of interest or to increase image quality, eg, deblurring. Designing …

Fast acquisition of depth information is crucial for accurate 3D tracking of moving objects.
Snapshot depth sensing can be achieved by wavefront coding, in which the point-spread …

Monitoring the proteins and lipids that mediate all cellular processes requires imaging
methods with increased spatial and temporal resolution. STED (stimulated emission …

Multiphoton microscopy (MPM) is a powerful imaging tool that has been a critical enabler for
live tissue imaging. However, since most multiphoton microscopy platforms rely on point …

Cells execute biological functions to support phenotypes such as growth, migration, and
secretion. Complementarily, each function of a cell has resource costs that constrain …