Evidence map›Paper›PMID 38167656›Full record

ArticleNature methods2024

Smart lattice light-sheet microscopy for imaging rare and complex cellular events.

Yu Shi, Jimmy S Tabet, Daniel E Milkie, Timothy A Daugird, Chelsea Q Yang, Alex T Ritter, Andrea Giovannucci, Wesley R Legant

Open access · greenAbstract 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 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
36.4field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 57 citations in OpenAlex.

  1. Endothelial Continuum and Capillary Specialization in Pulmonary Vascular Development.Arteriosclerosis, thrombosis, and vascular biology · 2026
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  19. A Multimodal Adaptive Optical Microscope ForbioRxiv : the preprint server for biology · 2025
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Yu Shi *Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jimmy S Tabet *Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-5715-1764
Daniel E MilkieJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.ORCID http://orcid.org/0000-0002-3917-6965
Timothy A DaugirdDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Chelsea Q YangDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Alex T RitterAltos Labs, Redwood City, CA, USA.
Andrea GiovannucciJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. andrea.giovannucci@gmail.com.ORCID http://orcid.org/0000-0002-7850-444X
Wesley R LegantJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. legantw@email.unc.edu.ORCID http://orcid.org/0000-0003-1827-5371
University of North Carolina at Chapel Hill · USAltos LabsHoward Hughes Medical Institute · US

Funding

Connecting the dots between single molecule dynamics and cell differentiationDP2GM136653 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEGANT, WESLEY R. · 2019 to 2019
$2.3M
NIGMS NIH HHS DP2 GM136653
6 · The paper itself

Abstract

Light-sheet microscopes enable rapid high-resolution imaging of biological specimens; however, biological processes span spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficult to capture with a single imaging modality. Here, to overcome this limitation, we present smartLLSM, a microscope that incorporates artificial intelligence-based instrument control to autonomously switch between epifluorescent inverted imaging and lattice light-sheet microscopy (LLSM). We apply this approach to two unique processes: cell division and immune synapse formation. In each context, smartLLSM provides population-level statistics across thousands of cells and autonomously captures multicolor three-dimensional datasets or four-dimensional time-lapse movies of rare events at rates that dramatically exceed human capabilities. From this, we quantify the effects of Taxol dose on spindle structure and kinetochore dynamics in dividing cells and of antigen strength on cytotoxic T lymphocyte engagement and lytic granule polarization at the immune synapse. Overall, smartLLSM efficiently detects rare events within heterogeneous cell populations and records these processes with high spatiotemporal four-dimensional imaging over statistically significant replicates.

Indexed as

Artificial IntelligenceMicroscopyHumansImaging, Three-DimensionalSynapses

Identifiers

PMID38167656
PMCPMC11216155
OpenAlexW4390501269

What OpenQuestion holds

Textmetadata
LicenceTDM
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.