Summary of ssbd-repos-000529

Name
URL
DOI

Title
Image Files for Computational Adaptive Optics for Three-Dimensional Wide-field and Structured Illumination Microscopy
Description

The original and aberration-corrected images by computational adaptive optics are deposited.
Images are in the "dv" format which can be read by ImageJ (with BioFormats plugin).
Meta data (channel wavelengths, pixel sizes etc...) are included in the image file.
Text files contain the amount of aberrations and may contain region information.
In the text file, 's' indicates spherical aberration, 'c-0' and 'c-1' indicate coma along the X- and Y-axes, respectively, 'a-0' and 'a-1' indicate astigmatism along the X- and orthogonal axes, respectively. Zernike modes followed the Wyant order.
The data were mirrored from the Zenodo repository (https://doi.org/10.5281/zenodo.15826325) with the author's permission.

Submited Date
2026-07-31
Release Date
2026-07-31
Updated Date
-
License
Funding information
Japan Science and Technology Agency JPMJCR2103 Japan Science and Technology Agency JPMJCR22E2 Japan Society for the Promotion of Science JP20H05891
File formats
.dv, .txt, .csv, .tif, .otf, .yaml
Data size
9.0 GB

Organism
Caenorhabditis elegans, Physcomitrella patens, Homo sapiens
Strain
-
Cell Line
HeLa cells
Genes
-
Proteins
-

GO Molecular Function (MF)
-
GO Biological Process (BP)
-
GO Cellular Component (CC)
-
Study Type
-
Imaging Methods
-

Method Summary

See details in Matsuda et. al. (2026) Commun Eng.

Related paper(s)

Atsushi Matsuda, Carlos Mario Rodriguez-Reza, Yosuke Tamada, Yamato Matsuo, Takaharu G Yamamoto, Takako Koujin, Peter M Carlton (2026) Phase-based computational adaptive optics enables artifact-free super-resolution microscopy., Communications engineering

Published in 2026 Mar 9 (Electronic publication in March 9, 2026, midnight )

(Abstract) Adaptive optics has revolutionized biological microscopy by improving resolution and signal-to-noise ratio, yet its reliance on complex hardware and phototoxic wavefront sensing limits broader adoption. Here, we introduce slashed circleCAO, a computational phase-based adaptive optics technique that corrects optical aberrations in three-dimensional fluorescence microscopy without requiring specialized optics or training datasets. By leveraging phase transfer functions in the frequency domain, slashed circleCAO enables robust post-acquisition correction across diverse imaging modalities, including wide-field and structured illumination microscopy. Our method achieves substantial improvements in image fidelity, supports subregional aberration correction, and maintains performance under noisy conditions. Demonstrated on a range of biological specimens, including Caenorhabditis elegans and plant tissues, slashed circleCAO offers a scalable and accessible solution for high-resolution biological imaging, facilitating the broad deployment of adaptive optics approaches across the life sciences.

Contact(s)
Atsushi Matsuda
Organization(s)
National Institute of Information and Communications Technology , Advanced ICT Research Institute
Image Data Contributors
Quantitative Data Contributors

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