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Video-rate gigapixel ptychography via space-time neural field representations.

Overview

Authors: Ruihai Wang1, Qianhao Zhao1, Zhixuan Hong1, Qiong Ma1, Tianbo Wang1, Lingzhi Jiang1, Liming Yang1, Shaowei Jiang1, Feifei Huang1, Thanh D Nguyen1, Leslie Shor2, Daniel Gage3, Mary Lipton4, Christopher Anderton4, Arunima Bhattacharjee4, David Brady5, Guoan Zheng1
ORCID iDs: Ruihai Wang, Qianhao Zhao, Thanh D Nguyen, Christopher Anderton, David Brady, Guoan Zheng
  1. Department of Biomedical Engineering, University of Connecticut, Storrs, CT USA
  2. Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, CT USA
  3. Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT USA
  4. Pacific Northwest National Laboratory, Department of Energy, Richland, WA USA
  5. Wyant College of Optical Sciences, University of Arizona, Tucson, AZ USA
Institutions: University of Connecticut (United States); Pacific Northwest National Laboratory (United States); University of Arizona (United States)
Journal: Nature communications, volume 17, issue 1, article 8149
Dates: received 31 December 2025; accepted 23 June 2026; published online 30 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41467-026-75092-8 · PMID 42380130 · PMCID PMC13458346 · OpenAlex W7166742610
Open access: gold, a free copy (OpenAlex)
Preprint: arxiv:2511.06126
Status: data only
Categories: computational (subfield)
Methods: Connectivity, Machine learning
Keywords: Imaging and sensing, Computational science, Sub-wavelength optics
Topic: Advanced X-ray Imaging Techniques (Radiation, Physics and Astronomy), according to OpenAlex
Funding: U.S. Department of Health & Human Services | National Institutes of Health (NIH) (R01-EB034744); NIBIB NIH HHS (R01 EB034744); U.S. Department of Energy (DOE) (SC0025582)
Citations: not cited yet (Europe PMC); 73 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

The paper links to its data, not to its authors' code: see the Data section.

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41467-026-75092-8.

Tracing map

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41467-026-75092-8.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 17 authors, 3 keywords, 3 funders, 39 references.

Cite

This paper

Wang, R., Zhao, Q., Hong, Z., Ma, Q., Wang, T., Jiang, L., Yang, L., Jiang, S., Huang, F., Nguyen, T. D., Shor, L., Gage, D., Lipton, M., Anderton, C., Bhattacharjee, A., Brady, D., & Zheng, G. (2026). Video-rate gigapixel ptychography via space-time neural field representations. Nature communications, 17(1), 8149. https://doi.org/10.1038/s41467-026-75092-8

BibTeX

@article{wang2026video,
author = {Wang, Ruihai and Zhao, Qianhao and Hong, Zhixuan and Ma, Qiong and Wang, Tianbo and Jiang, Lingzhi and Yang, Liming and Jiang, Shaowei and Huang, Feifei and Nguyen, Thanh D and Shor, Leslie and Gage, Daniel and Lipton, Mary and Anderton, Christopher and Bhattacharjee, Arunima and Brady, David and Zheng, Guoan},
title = {{Video-rate gigapixel ptychography via space-time neural field representations}},
journal = {Nature communications},
year = {2026},
month = jun,
volume = {17},
number = {1},
pages = {8149},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-75092-8},
url = {https://doi.org/10.1038/s41467-026-75092-8},
pmid = {42380130},
pmcid = {PMC13458346}
}

RIS

TY - JOUR
AU - Wang, Ruihai
AU - Zhao, Qianhao
AU - Hong, Zhixuan
AU - Ma, Qiong
AU - Wang, Tianbo
AU - Jiang, Lingzhi
AU - Yang, Liming
AU - Jiang, Shaowei
AU - Huang, Feifei
AU - Nguyen, Thanh D
AU - Shor, Leslie
AU - Gage, Daniel
AU - Lipton, Mary
AU - Anderton, Christopher
AU - Bhattacharjee, Arunima
AU - Brady, David
AU - Zheng, Guoan
TI - Video-rate gigapixel ptychography via space-time neural field representations
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/06/30
VL - 17
IS - 1
SP - 8149
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-75092-8
UR - https://doi.org/10.1038/s41467-026-75092-8
LA - en
ER -

CSL-JSON

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