Resources for computational imaging
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Updated
Aug 23, 2024
Resources for computational imaging
python library for numerical focusing (refocusing, autofocusing) of complex wave fields
Python library for spheres in quantitative phase imaging
manipulation and analysis of phase microscopy data
Official implementation for "Self-calibrated 3D differential phase contrast microscopy with optimized illumination"
Python library for manipulating quantitative phase images
Python library for opening quantitative phase imaging file formats
GPU-accelerated Fourier Ptychography for brightfield-only images
A monorepo for deep-learning and bio-imaging research on cardiomyocytes
Open-source digital holographic microscopy (DHM) workstation: off-axis hologram reconstruction, quantitative phase imaging, autofocus, and reference-free phase retrieval via a hybrid classical + CNN pipeline. PySide6 GUI, optional Apple Silicon MLX acceleration, and an MCP server for AI agents.
Off-axis digital hologram simulator for digital holographic microscopy (DHM) in MATLAB/GNU Octave — angular spectrum propagation, split-step volume phase, 12-bit camera model, and numerical reconstruction with known ground truth.
A Python toolkit for multi-modal holographic systems and cellular analysis.
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