OSCR

pan-ASLM: Axially Swept Light Sheet Microscopy for Fast and High-Resolution Imaging of Expanded Samples.

Code ↔ Paper

The paper beside its authors' code: matches between them have not been computed for this paper yet.

Paper

Loaded from Europe PMC by your browser; OSCR does not store it: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

MATLAB · 74 lines · 1.1 KB · no license

  1. fileName= "Composite_cellzstack10twocells";
  2. %im = tiffreadVolume('scan width 8 no sample.tiff');
  3. %im = tiffreadVolume('scan width 32 no sample.tiff');
  4. im = tiffreadVolume(fileName + ".tif");
  5. %%
  6. image = im(:,:, 49);
  7. figure()
  8. imshow(image,[]);
  9. %%
  10. frecImage = fftshift(fft2(double(image)));
  11. imshow(log(frecImage),[]);
  12. %%
  13. filterPoints = [239, 240, 241, 478, 885, 1123, 1124, 1361, 1362, 1840, 1841, 2078, 2079, 2080, 2723, 2724, 2725, 2961, 2962, 2963];
  14. frequencyFilter = ones(size(image));
  15. for ii = 1: length(filterPoints)
  16. frequencyFilter(filterPoints(ii),1601) = 0;
  17. end
  18. frecImageFiltered = frecImage.*frequencyFilter;
  19. %%
  20. imwrite(frequencyFilter(:,:),"frequencyFilter.tiff");
  21. %%
  22. imshow(log(frecImageFiltered),[]);
  23. %%
  24. filteredImage = abs(ifft2(ifftshift(frecImageFiltered)));
  25. figure()
  26. imshow((filteredImage),[])
  27. %%
  28. figure()
  29. imagesc(abs((frecImage)));
  30. colormap('gray')
  31. %%
  32. filteredImage = uint16(FrequencyFilter2D(im(:,:,:),frequencyFilter));
  33. %%
  34. figure()
  35. imshow(filteredImage(:,:,50),[])
  36. for ii = 2:2:320
  37. imwrite(filteredImage(:,:,ii),fileName + " ch2 filtered "+ string(ii) + ".tiff");
  38. end
  39. %%
  40. t = Tiff('myfile.tif','w');

2d_frequency_filtering.m at commit 97d0a01, no license · at the source

Overview

Authors: Hannahmariam T. Mekbib1,2, Lasse Pærgård Andersen2,3, Shuwen Zhang2, Jonathan Gulcicek4, Yuan Tian2, Jack R. Ross5, Mark D. Lessard2, Joerg Bewersdorf1,2,5,6,7
  1. Department of Biomedical Engineering, Yale University,New Haven, CT USA
  2. Department of Cell Biology, Yale School of Medicine,New Haven, CT USA
  3. DTU Health Tech, Technical University of Denmark,Kgs Lyngby, Denmark
  4. panluminate Inc., New Haven, CT USA
  5. Department of Physics, Yale University,New Haven, CT USA
  6. Nanobiology Institute, Yale University,West Haven, CT USA
  7. Kavli Institute for Neuroscience, Yale School of Medicine,New Haven, CT USA
Institutions: Yale University (United States); Technical University of Denmark (Denmark)
Journal: Npj imaging, volume 4, issue 1, article 16
Dates: received 17 August 2025; accepted 26 January 2026; published online 23 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s44303-026-00141-2 · PMID 41872457 · PMCID PMC13009474 · OpenAlex W7140094998
Open access: gold, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: histology / microscopy (modality)
Methods: fMRI & imaging, Physiology & signal measures
Keywords: Biological techniques, Biophysics, Cell biology, Optics and photonics
Topic: Advanced Fluorescence Microscopy Techniques (Biophysics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 39 references in the paper

Abstract

Expansion microscopy, a super-resolution fluorescence microscopy technique in which samples are expanded up to ~8000 times (after 20-fold expansion) their original volume, places high demands on the microscopes used to image the expanded samples. To reveal nanoscale cellular ultrastructure in meaningful sample volumes, the instruments need to feature a large field of view and working distance. Simultaneously, they need to offer a high three-dimensional resolution to avoid counteracting the resolution improvement achieved by the expansion process. Here, we present pan-ASLM, a high resolution, large field-of-view light-sheet microscope developed for expanded samples, based on the Axially Swept Light Sheet Microscopy (ASLM) technique. pan-ASLM allows imaging over a 640 x 640 µm2 field of view with lateral and axial resolutions of 586 and 428 nm, respectively, and features an image acquisition speed of up to 20 fps (183 Mvoxels/sec). It offers ~1200× higher imaging speed, a ~7× larger field of view, and ~2× better axial resolution than the standard confocal microscopes typically used for expanded samples. We validate the new microscope design through imaging of pan-expanded HeLa cells as well as mouse kidney and brain tissue.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above.

lasselpk/pan-ASLM

License: none: the authors keep all their rights
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: 97d0a0102db8cbe1a6ead8d5b7feb725156701f5, 14 August 2025
Languages: MATLAB (6)
Size: 311 files, 6 scripts
Software Heritage: not archived
Found in: “Code availability”
Holds: README, documentation
Not found: license file, CITATION.cff, environment file, tests, continuous integration
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
7 files

Code availability

The microscope control software is available at https://github.com/lasselpk/pan-ASLM/.

Reproduced under the paper's license (CC BY), from the paper cited above.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 6 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

The data presented in this paper are deposited to BioImage Archive39 with accession number S-BIAD2357.

Reproduced under the paper's license (CC BY), from the paper cited above.

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, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 4 keywords, 4 funders, 38 references.

Cite

This paper

Mekbib, H. T., Andersen, L. P., Zhang, S., Gulcicek, J., Tian, Y., Ross, J. R., Lessard, M. D., & Bewersdorf, J. (2026). pan-ASLM: Axially Swept Light Sheet Microscopy for Fast and High-Resolution Imaging of Expanded Samples. Npj imaging, 4(1), 16. https://doi.org/10.1038/s44303-026-00141-2

BibTeX

@article{mekbib2026pan,
author = {Mekbib, Hannahmariam T. and Andersen, Lasse Pærgård and Zhang, Shuwen and Gulcicek, Jonathan and Tian, Yuan and Ross, Jack R. and Lessard, Mark D. and Bewersdorf, Joerg},
title = {{pan-ASLM: Axially Swept Light Sheet Microscopy for Fast and High-Resolution Imaging of Expanded Samples}},
journal = {Npj imaging},
year = {2026},
month = mar,
volume = {4},
number = {1},
pages = {16},
publisher = {Springer Science+Business Media},
issn = {2948-197X},
doi = {10.1038/s44303-026-00141-2},
url = {https://doi.org/10.1038/s44303-026-00141-2},
pmid = {41872457},
pmcid = {PMC13009474}
}

RIS

TY - JOUR
AU - Mekbib, Hannahmariam T.
AU - Andersen, Lasse Pærgård
AU - Zhang, Shuwen
AU - Gulcicek, Jonathan
AU - Tian, Yuan
AU - Ross, Jack R.
AU - Lessard, Mark D.
AU - Bewersdorf, Joerg
TI - pan-ASLM: Axially Swept Light Sheet Microscopy for Fast and High-Resolution Imaging of Expanded Samples
T2 - Npj imaging
J2 - Npj Imaging
PY - 2026
DA - 2026/03/23
VL - 4
IS - 1
SP - 16
SN - 2948-197X
PB - Springer Science+Business Media
DO - 10.1038/s44303-026-00141-2
UR - https://doi.org/10.1038/s44303-026-00141-2
LA - en
ER -

CSL-JSON

{
"id": "10.1038/s44303-026-00141-2",
"type": "article-journal",
"title": "pan-ASLM: Axially Swept Light Sheet Microscopy for Fast and High-Resolution Imaging of Expanded Samples",
"container-title": "Npj imaging",
"author": [
{
"family": "Mekbib",
"given": "Hannahmariam T."
},
{
"family": "Andersen",
"given": "Lasse Pærgård"
},
{
"family": "Zhang",
"given": "Shuwen"
},
{
"family": "Gulcicek",
"given": "Jonathan"
},
{
"family": "Tian",
"given": "Yuan"
},
{
"family": "Ross",
"given": "Jack R."
},
{
"family": "Lessard",
"given": "Mark D."
},
{
"family": "Bewersdorf",
"given": "Joerg"
}
],
"container-title-short": "Npj Imaging",
"volume": "4",
"issue": "1",
"page": "16",
"DOI": "10.1038/s44303-026-00141-2",
"PMID": "41872457",
"PMCID": "PMC13009474",
"ISSN": "2948-197X",
"publisher": "Springer Science+Business Media",
"URL": "https://doi.org/10.1038/s44303-026-00141-2",
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
23
]
]
}
}

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1038/s41587-023-01911-8 [code]
Imaging brain tissue architecture across millimeter to nanometer scales.
Journal: Nature biotechnology
In common: histology / microscopy, 12 references
[2] doi:10.1038/s41587-025-02905-4 [code]
All-optical visualization of specific molecules in the ultrastructural context of brain tissue.
Journal: Nature biotechnology
In common: histology / microscopy, 8 references, author Joerg Bewersdorf
[3] doi:10.7554/elife.91979 [code]
Expansion-assisted selective plane illumination microscopy for nanoscale imaging of centimeter-scale tissues.
Journal: eLife
In common: histology / microscopy, 11 references
[4] doi:10.1038/s41467-023-39616-w [code]
Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology.
Journal: Nature communications
In common: histology / microscopy, 9 references
[5] doi:10.1038/s41586-025-08985-1 [code]
Light-microscopy-based connectomic reconstruction of mammalian brain tissue.
Journal: Nature
In common: histology / microscopy, 7 references
[6] doi:10.1038/s41467-025-56641-z [code]
Dense, continuous membrane labeling and expansion microscopy visualization of ultrastructure in tissues.
Journal: Nature communications
In common: histology / microscopy, 6 references
[7] doi:10.1038/s41587-022-01546-1
Magnify is a universal molecular anchoring strategy for expansion microscopy.
Journal: Nature biotechnology
In common: histology / microscopy, 6 references
[8] doi:10.1038/s41467-024-55305-8
Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy.
Journal: Nature communications
In common: histology / microscopy, 5 references
[9] doi:10.1038/s41467-024-46693-y [code]
Projective light-sheet microscopy with flexible parameter selection.
Journal: Nature communications
In common: histology / microscopy, 4 references
[10] doi:10.1364/boe.505217 [code]
Rapid 3D isotropic imaging of whole organ with double-ring light-sheet microscopy and self-learning side-lobe elimination.
Journal: Biomedical optics express
In common: histology / microscopy, 4 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Add the badge to the code's README

OSCR: the badge of this paper

If you are an author or a maintainer of this paper's code, you can add this badge. It says what OSCR knows of the paper (its code, its validated tracing map) and links the code to this page. Paste one of these snippets under the README's title. Keep the two marks around it, so that the badge can be replaced in place and is never added twice. OSCR changes nothing in your repository.

Markdown
<!-- oscr-badge:start -->
[![OSCR](https://openscicode.org/badge/doi/10.1038/s44303-026-00141-2.svg)](https://openscicode.org/badge/doi/10.1038/s44303-026-00141-2)
<!-- oscr-badge:end -->
reStructuredText
.. oscr-badge:start

.. image:: https://openscicode.org/badge/doi/10.1038/s44303-026-00141-2.svg
   :target: https://openscicode.org/badge/doi/10.1038/s44303-026-00141-2
   :alt: OSCR

.. oscr-badge:end
HTML
<!-- oscr-badge:start -->
<a href="https://openscicode.org/badge/doi/10.1038/s44303-026-00141-2"><img src="https://openscicode.org/badge/doi/10.1038/s44303-026-00141-2.svg" alt="OSCR"></a>
<!-- oscr-badge:end -->

On GitHub, open the README, choose Edit (the pencil), paste the snippet under the title, then "Commit changes".

If you choose to, you can have the badge kept up to date for you, with oscr badge --write from the command line or with the GitHub Action in your repository's workflows. Every other form and option (a card, AsciiDoc, LaTeX, shields.io) is on the badge page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.

Report a mismatch between the code and the paper · Report a code error (signed in)

Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.

Report a reproduction failure (signed in)

Versions of its code: the releases of its code tied to a version of this paper (the preprint, the accepted manuscript, the version of record…), each with the tracing map versioned with it.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.