Although deconvolution can improve the quality of any type of microscope, the high
computational time required has so far limited its massive spreading. Here we demonstrate …

Monitoring and visualizing specimens at a large penetration depth is a challenge. At depths
of hundreds of microns, several physical effects (such as, scattering, PSF distortion and …

Time-gated detection, namely, only collecting the fluorescence photons after a time-delay
from the excitation events, reduces complexity, cost, and illumination intensity of a stimulated …

Multifunctional light sheet imaging flow cytometry of a large population of live cells at high
throughput is challenging and requires new technological advancement. Existing cytometry …

We propose and demonstrate a light-sheet-based 3D interrogation system on a microfluidic
platform for screening biological specimens during flow. To achieve this, a diffraction-limited …

Molecular assembly in a complex cellular environment is vital for understanding underlying
biological mechanisms. Biophysical parameters (such as single-molecule cluster density …

The methods of image deconvolution are important for improving the quality of the detected
images in the different modalities of fluorescence microscopy such as wide‐field, confocal …

We present a general image reconstruction methodology for multiphoton fluorescence
microscopy. The method is primarily based on Markov random field modeling of the detected …

The ability to anticipate human actions is critical to many cyber-physical systems, such as
robots and autonomous vehicles. Computer vision and sensing algorithms to date have …

Problems involving image segmentation, atomic cluster identification, segmentation of
microstructure constituents in images and austenite reconstruction have seen various …