L. Waller

Neural space-time model for dynamic scene recovery in multi-shot computational imaging systems

The paper introduces a neural space-time model to recover dynamic scenes in multi-shot computational imaging systems by jointly estimating the scene and its motion, reducing motion artifacts.

Fusing an agent-based model of mosquito population dynamics with a statistical reconstruction of spatio-temporal abundance patterns

This paper combines an agent-based model of mosquito population dynamics with a statistical model to better predict mosquito abundance and response to vector control interventions.

Learned adaptive multiphoton illumination microscopy

This paper develops a machine learning model to adaptively adjust multiphoton microscopy illumination power based on in situ cell imaging, enabling improved in vivo immune response visualization in mouse lymph nodes.

Stereo In-Line Holographic Digital Microscope

This paper introduces a stereo in-line holographic digital microscope that enables 3D imaging and classification of plankton using a single laser and white LED, reducing computational load and providing interactive 3D visualization.

Single-shot autofocus microscopy using deep learning

This paper introduces a deep learning-based autofocus method for microscopes using off-axis LEDs and single images to estimate and correct defocus distance.

Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware

This paper introduces a low-cost microscopy technique using open-source hardware and Fourier ptychography to achieve sub-micron resolution and high-throughput imaging applications.