Evidence map›Paper›PMID 38844629›Full record

ArticleNature methods2024

Deconwolf enables high-performance deconvolution of widefield fluorescence microscopy images.

Erik Wernersson, Eleni Gelali, Gabriele Girelli, Su Wang, David Castillo, Christoffer Mattsson Langseth, Quentin Verron, Huy Q Nguyen, Shyamtanu Chattoraj, Anna Martinez Casals and 7 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Erik WernerssonDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Eleni GelaliDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Gabriele GirelliDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4264-6494
Su WangDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
David CastilloCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID http://orcid.org/0000-0003-0478-0828
Christoffer Mattsson LangsethScience for Life Laboratory, Stockholm, Sweden.
Quentin VerronDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Huy Q NguyenDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Shyamtanu ChattorajDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Anna Martinez CasalsScience for Life Laboratory, Stockholm, Sweden.
Hans BlomScience for Life Laboratory, Stockholm, Sweden.
Emma LundbergScience for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7034-0850
Mats NilssonScience for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9985-0387
Marc A Marti-RenomCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Chao-Ting WuDepartment of Genetics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5525-871X
Nicola CrosettoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3019-6978
Magda BienkoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden. magda.bienko@fht.org.ORCID http://orcid.org/0000-0002-6499-9082

Funding

Center for Genome ImagingRM1HG011016 · NHGRI · HARVARD MEDICAL SCHOOL · PI WU, CHAO-TING · 2021 to 2025
$12.2M
Culling the human genome of disease variants using ultraconserved elementsR01HD091797 · NICHD · HARVARD MEDICAL SCHOOL · PI WU, CHAO-TING · 2016 to 2020
$5.5M
Technologies for visualizing the genome in situR01GM123289 · NIGMS · HARVARD MEDICAL SCHOOL · PI WU, CHAO-TING · 2017 to 2020
$2.5M
Cancerfonden (Swedish Cancer Society) 19 0130 Pj 03 HCancerfonden (Swedish Cancer Society) 21 1785 PjCancerfonden (Swedish Cancer Society) CAN 2018/604EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) EPIC-XS_823839EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) StG-2016_GENOMIS_715727Human Frontier Science Program (HFSP) CDAKnut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) KAW 2018.0172NHGRI NIH HHS RM1 HG011016NICHD NIH HHS R01 HD091797NIGMS NIH HHS R01 GM123289Stiftelsen för Strategisk Forskning (Swedish Foundation for Strategic Research) BD15_0095U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM123289U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) RM1HG011016Vetenskapsrådet (Swedish Research Council) 2019-01238
6 · The paper itself

Abstract

Microscopy-based spatially resolved omic methods are transforming the life sciences. However, these methods rely on high numerical aperture objectives and cannot resolve crowded molecular targets, limiting the amount of extractable biological information. To overcome these limitations, here we develop Deconwolf, an open-source, user-friendly software for high-performance deconvolution of widefield fluorescence microscopy images, which efficiently runs on laptop computers. Deconwolf enables accurate quantification of crowded diffraction limited fluorescence dots in DNA and RNA fluorescence in situ hybridization images and allows robust detection of individual transcripts in tissue sections imaged with ×20 air objectives. Deconvolution of in situ spatial transcriptomics images with Deconwolf increased the number of transcripts identified more than threefold, while the application of Deconwolf to images obtained by fluorescence in situ sequencing of barcoded Oligopaint probes drastically improved chromosome tracing. Deconwolf greatly facilitates the use of deconvolution in many bioimaging applications.

Indexed as

Image Processing, Computer-AssistedIn Situ Hybridization, FluorescenceMicroscopy, FluorescenceSoftwareAnimalsHumansMice

Identifiers

PMID38844629
PMCPMC11239506

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.