1 citations · 2 across the 3 of their papers we have counts for
5 papers
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography
Rey Mendoza, Minh Nguyen, Judith Weng Zhu +4
Computed tomography has propelled scientific advances in fields from biology to materials science. This technology allows for the elucidation of 3-dimensional internal structure by…
Data-Driven Computational Imaging for Scientific Discovery
Andrew Olsen, Yolanda Hu, Vidya Ganapati
In computational imaging, hardware for signal sampling and software for object reconstruction are designed in tandem for improved capability. Examples of such systems include compu…
Deep Learned Optical Multiplexing for Multi-Focal Plane Microscopy
Yi Fei Cheng, Ziad Sabry, Megan Strachan +4
To obtain microscope images at multiple focal planes, the distance between the objective and sample can be mechanically adjusted. Images are acquired sequentially at each axial dis…
Illumination Pattern Design with Deep Learning for Single-Shot Fourier Ptychographic Microscopy
Yi Fei Cheng, Megan Strachan, Zachary Weiss +3
Fourier ptychographic microscopy allows for the collection of images with a high space-bandwidth product at the cost of temporal resolution. In Fourier ptychographic microscopy, th…
Optimal Physical Preprocessing for Example-Based Super-Resolution
Alexander Robey, Vidya Ganapati
In example-based super-resolution, the function relating low-resolution images to their high-resolution counterparts is learned from a given dataset. This data-driven approach to s…