96 citations · 212 across the 10 of their papers we have counts for
10 papers
Self-Supervised Deep Learning for Model Correction in the Computational Crystallography Toolbox
Vidya Ganapati, Daniel Tchon, Aaron S. Brewster +1
The Computational Crystallography Toolbox (CCTBX) is open-source software that allows for processing of crystallographic data, including from serial femtosecond crystallography (SF…
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…
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
Vincent Dumont, Casey Garner, Anuradha Trivedi +6
We present a new software, HYPPO, that enables the automatic tuning of hyperparameters of various deep learning (DL) models. Unlike other hyperparameter optimization (HPO) methods,…
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…
Ultra-Efficient Thermophotovoltaics Exploiting Spectral Filtering by the Photovoltaic Band-Edge
Vidya Ganapati, T. Patrick Xiao, Eli Yablonovitch
Thermophotovotaics convert thermal radiation from local heat sources to electricity. A new breakthrough in creating highly efficient thin-film solar cells can potentially enable th…
Intermediate Mirrors to Reach Theoretical Efficiency Limits of Multi-Bandgap Solar Cells
Vidya Ganapati, Chi-Sing Ho, Eli Yablonovitch
Creating a single bandgap solar cell that approaches the Shockley-Queisser limit requires a highly reflective rear mirror. This mirror enhances the voltage of the solar cell by pro…
Light Trapping Textures Designed by Electromagnetic Optimization for Sub-Wavelength Thick Solar Cells
Vidya Ganapati, Owen D. Miller, Eli Yablonovitch
Light trapping in solar cells allows for increased current and voltage, as well as reduced materials cost. It is known that in geometrical optics, a maximum 4n^2 absorption enhance…