1 citations · 3 across the 6 of their papers we have counts for
8 papers
Point Spread Function Engineering Using Implicit Neural Representations
Suet Ying Chan, Mitchell Gilmore, Qilin Deng +4
Point spread function (PSF) engineering through pupil plane modulation is a technique used in microscopy to achieve specific imaging properties, such as depth encoding or extended…
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…
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…
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…
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…
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…
EventLFM: Event Camera integrated Fourier Light Field Microscopy for Ultrafast 3D imaging
Ruipeng Guo, Qianwan Yang, Andrew S. Chang +5
Ultrafast 3D imaging is indispensable for visualizing complex and dynamic biological processes. Conventional scanning-based techniques necessitate an inherent trade-off between acq…
Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network
Jeffrey Alido, Joseph Greene, Yujia Xue +7
Imaging through scattering is a pervasive and difficult problem in many biological applications. The high background and the exponentially attenuated target signals due to scatteri…