Phi Computational Adaptive Optics

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: Atsushi Matsuda
DOI: 10.5281/zenodo.15042906
Cited by: 0

Abstract

Executable software for phi computational adaptive optics (øCAO) and its documentation. For installation and how to use, please read the documentation (DocumentPhiCAO.pdf). System requirements: Windows (tested on 10 and 11) and MacOS (tested on "Sequoia" and "Tahoe"). This software was packaged using PyInstaller and includes Python, NumPy, SciPy, Pillow, wxPython, wxmplot, Matplotlib, PyOpenGL, tifffile, nd2, czifile, oiffile, and FreeGLUT. How to cite: Matsuda, A., Rodriguez-Reza, C.M., Tamada, Y. et al. Phase-based computational adaptive optics enables artifact-free super-resolution microscopy. Commun Eng 5, 75 (2026). https://doi.org/10.1038/s44172-026-00622-7

Fields of Study & Subjects

Adaptive optics and wavefront sensing Advanced Fluorescence Microscopy Techniques Digital Holography and Microscopy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026