Evidence map›Paper›PMID 41394731›Full record

ArticlebioRxiv : the preprint server for biology2025

BeadBuddy: user-friendly, nanometer-scale registration of single-molecule imaging data.

Finnegan T Clark, Peter H Whitney, Néstor Saiz, Angelina Ziarno, Timothée Lionnet

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Finnegan T ClarkInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-0575-7312
Peter H WhitneyInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0009-0009-5276-0232
Néstor SaizInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-0637-791X
Angelina ZiarnoInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0009-0007-5762-5908
Timothée LionnetInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-1508-0202

Funding

Supplement for Center for Synthetic Regulatory Genomics: Building CACNA1C alleles associated with Neuropsychiatric DisordersRM1HG009491 · NHGRI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jef D BOEKE · 2018 to 2026
$20.9M
Dissecting CEBPB Function with Synthetic Biology and ImagingR01AG075272 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Timothee Lionnet · 2022 to 2026
$3.2M
Binding Kinetics in Transcription Activation and RepressionR01GM149835 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Timothee Lionnet, Marcus Blaine Noyes · 2023 to 2026
$2.5M
Remodeling of 3D chromatin in B cell acute leukemia and its impact on clinical outcomeR01CA260028 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CARROLL, WILLIAM L., LIONNET, TIMOTHEE · 2021 to 2025
$2.2M
Non-coding Genomic Determinants of AdipogenesisF32GM153131 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WHITNEY, PETER H · 2024 to 2025
$148k
NCI NIH HHS R01 CA260028NHGRI NIH HHS RM1 HG009491NIA NIH HHS R01 AG075272NIGMS NIH HHS F32 GM153131NIGMS NIH HHS R01 GM149835
6 · The paper itself

Abstract

Single-molecule localization microscopy (SMLM) captures nanoscale detail with fluorescence imaging. As large-area cameras and multiplex imaging become standard, chromatic errors are growing more complex, challenging precise analysis. To address this challenge, we present

Identifiers

PMID41394731
PMCPMC12697554

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.