most citedDeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

physics.optics2026

Event-based Scheimpflug LiDAR for Ultra-Fast Laser-Scanned Rangefinding

Nathan Meraz, Alisha Whitehead, Suet Ying Chan +3

Frame-based ranging systems are constrained by frame rate and provide no intrinsic mechanism for background rejection, limiting utility in high-throughput or cluttered environments…

physics.optics2026

Frequency-domain Event-based Imaging for Selective Surveillance

Megan Birch, James Rick, Adrish Kar +2

Event-based cameras (EBCs) are an attractive sensing modality for surveillance due to their reporting of pixel-level radiance changes with microsecond resolution and high dynamic r…

physics.optics20261 cited

DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy

Joseph L. Greene, Suet YIng Chan, Qilin Deng +8

Extended depth of field microscopy encodes axial information into a single acquisition through engineered point spread functions, but conventional and deep optics approaches are su…

physics.optics2026

Monocular passive event-based range-finding of airborne objects using the Scheimpflug principle

Nathan Meraz, Ronan Taneja, Rachel Chan +4

Passive 3D sensing is increasingly critical for early detection and tracking of small aerial vehicles (UAVs), where traditional active ranging can be tactically undesirable. We pre…

physics.optics2026

TurPy: a physics-based and differentiable optical turbulence simulator for algorithmic development and system optimization

Joseph L. Greene, Alfred Moore, Iris Ochoa +3

Developing optical systems for free-space applications requires simulation tools that accurately capture turbulence-induced wavefront distortions and support gradient-based optimiz…