pan-ASLM: Axially Swept Light Sheet Microscopy for Fast and High-Resolution Imaging of Expanded Samples.
Paper
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The authors' code
MATLAB · 74 lines · 1.1 KB · no license
- fileName= "Composite_cellzstack10twocells";
- %im = tiffreadVolume('scan width 8 no sample.tiff');
- %im = tiffreadVolume('scan width 32 no sample.tiff');
- im = tiffreadVolume(fileName + ".tif");
- %%
- image = im(:,:, 49);
- figure()
- imshow(image,[]);
- %%
- frecImage = fftshift(fft2(double(image)));
- imshow(log(frecImage),[]);
- %%
- filterPoints = [239, 240, 241, 478, 885, 1123, 1124, 1361, 1362, 1840, 1841, 2078, 2079, 2080, 2723, 2724, 2725, 2961, 2962, 2963];
- frequencyFilter = ones(size(image));
- for ii = 1: length(filterPoints)
- frequencyFilter(filterPoints(ii),1601) = 0;
- end
- frecImageFiltered = frecImage.*frequencyFilter;
- %%
- imwrite(frequencyFilter(:,:),"frequencyFilter.tiff");
- %%
- imshow(log(frecImageFiltered),[]);
- %%
- filteredImage = abs(ifft2(ifftshift(frecImageFiltered)));
- figure()
- imshow((filteredImage),[])
- %%
- figure()
- imagesc(abs((frecImage)));
- colormap('gray')
- %%
- filteredImage = uint16(FrequencyFilter2D(im(:,:,:),frequencyFilter));
- %%
- figure()
- imshow(filteredImage(:,:,50),[])
- for ii = 2:2:320
- imwrite(filteredImage(:,:,ii),fileName + " ch2 filtered "+ string(ii) + ".tiff");
- end
- %%
- t = Tiff('myfile.tif','w');
2d_frequency_filtering.m at commit 97d0a01, no license · at the source
Overview
- Department of Biomedical Engineering, Yale University,New Haven, CT USA
- Department of Cell Biology, Yale School of Medicine,New Haven, CT USA
- DTU Health Tech, Technical University of Denmark,Kgs Lyngby, Denmark
- panluminate Inc., New Haven, CT USA
- Department of Physics, Yale University,New Haven, CT USA
- Nanobiology Institute, Yale University,West Haven, CT USA
- Kavli Institute for Neuroscience, Yale School of Medicine,New Haven, CT USA
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/
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
97d0a0102db8cbe1a6ead8d5b7feb725156701f5, 14 August 2025Availability: 1 check, the latest on 30 September 2026: the link answers
- 30 September 2026: the link answers
7 files
- Matlab/
2d_frequency_filtering.m , MATLAB, 74 lines - Matlab/
FrequencyFilter2D.m , MATLAB, 26 lines - Matlab/
FrequencyFiltering2d.m , MATLAB, 64 lines - Matlab/
calibrationFileGenerator , MATLAB, 51 lines.m - Matlab/
calibrationFileGenerator , MATLAB, 47 linesFunction.m - Matlab/
logisticfunctionFlyback. , MATLAB, 58 linesm - README.md, Text, 23 lines
Code availability
The microscope control software is available at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Tracing map
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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
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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://
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/
url = {https://
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/
VL - 4
IS - 1
SP - 16
SN - 2948-197X
PB - Springer Science+Business Media
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1038/
"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."
},
{
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{
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{
"family": "Gulcicek",
"given": "Jonathan"
},
{
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"given": "Yuan"
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{
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"given": "Jack R."
},
{
"family": "Lessard",
"given": "Mark D."
},
{
"family": "Bewersdorf",
"given": "Joerg"
}
],
"container-title-short":
"volume": "4",
"issue": "1",
"page": "16",
"DOI": "10.1038/
"PMID": "41872457",
"PMCID": "PMC13009474",
"ISSN": "2948-197X",
"publisher": "Springer Science+Business Media",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
23
]
]
}
}
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