Evidence map›Paper›PMID 41642252›Full record

ArticleeLife2026

A high-resolution, easy-to-build light-sheet microscope for subcellular imaging.

John Haug, Seweryn Gałecki, Hsin-Yu Lin, Xiaoding Wang, Kevin M Dean

Abstract readVideo-Audio Media
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

John HaugLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, United States.ORCID https://orcid.org/0000-0001-8247-3271
Seweryn GałeckiLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, United States.ORCID https://orcid.org/0000-0002-7020-0804
Hsin-Yu LinLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, United States.
Xiaoding WangLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, United States.
Kevin M DeanLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, United States.ORCID https://orcid.org/0000-0003-0839-2320

Funding

Technical Development Unit 2: Intelligent Hyperspectral Imaging of Subcellular Molecular States at the Whole Organ LevelU54CA268072 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SEAN J MORRISON · 2021 to 2026
$9.1M
UTSW-UNC Center for Cell Signaling AnalysisRM1GM145399 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Kevin Michael Dean, Klaus M. Hahn · 2022 to 2026
$6.2M
NCI NIH HHS U54 CA268072NCI NIH HHS U54CA268072NIGMS NIH HHS RM1 GM145399NIGMS NIH HHS RM1GM145399
6 · The paper itself

Abstract

Although several open-source, easy-to-assemble light-sheet microscope platforms already exist-such as mesoSPIM, OpenSPIM, and OpenSpin-they are optimized for imaging large specimens and lack the resolution required to visualize subcellular features, such as organelles or cytoskeletal architectures. In contrast, lattice light-sheet microscopy (LLSM) achieves the resolution necessary to resolve such fine structures but, in its open-source implementation, can be alignment- and maintenance-intensive, often requiring specialist expertise. To address this gap, we developed Altair light-sheet fluorescence microscopy (LSFM), a high-resolution, open-source, sample-scanning light-sheet microscope specifically designed for subcellular imaging. By optimizing the optical pathway in silico, we created a custom baseplate that greatly simplifies alignment and assembly. The system integrates streamlined optoelectronics and optomechanics with seamless operation through our open-source software,

Indexed as

Microscopy, FluorescenceAnimalsHumansImage Processing, Computer-AssistedMiceMicrotubulesSoftwarecell biologyhumanhuman RPE-hTERT cellslight-sheet fluorescence microscopymousemouse embryonic fibroblastsopen-source hardwarevolumetric imaging

Identifiers

PMID41642252
PMCPMC12875610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.