Evidence map›Paper›PMID 39939720›Full record

ArticleNature methods2025

Imaging of cellular dynamics from a whole organism to subcellular scale with self-driving, multiscale microscopy.

Stephan Daetwyler, Hanieh Mazloom-Farsibaf, Felix Y Zhou, Dagan Segal, Etai Sapoznik, Bingying Chen, Jill M Westcott, Rolf A Brekken, Gaudenz Danuser, Reto Fiolka

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. LFC-Lab on a chip · 2026
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

10 authors.

Stephan DaetwylerLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA. stephan.daetwyler@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-7444-4734
Hanieh Mazloom-FarsibafLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Felix Y ZhouLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0003-4463-1165
Dagan SegalLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Etai SapoznikDepartment of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Bingying ChenLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jill M WestcottDepartment of Surgery and Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Rolf A BrekkenDepartment of Surgery and Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Gaudenz DanuserLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0001-8583-2014
Reto FiolkaLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA. reto.fiolka@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-4636-5000

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
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI JONATHAN Charles COHEN · 2022 to 2026
$7.4M
Transformative microscopes to image across spatiotemporal scalesR35GM133522 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Reto Paul Fiolka · 2019 to 2026
$3.1M
The context-dependent role of Caveolin-1 as a driver of cellular adaptation in Ewing SarcomaK99CA270285 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SEGAL, DAGAN · 2023 to 2024
$302k
NCI NIH HHS K99 CA270285NCI NIH HHS U54 CA268072NIDDK NIH HHS P30 DK127984NIGMS NIH HHS R35 GM133522Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 191347U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) K99CA270285
6 · The paper itself

Abstract

Most biological processes, from development to pathogenesis, span multiple time and length scales. While light-sheet fluorescence microscopy has become a fast and efficient method for imaging organisms, cells and subcellular dynamics, simultaneous observations across all these scales have remained challenging. Moreover, continuous high-resolution imaging inside living organisms has mostly been limited to a few hours, as regions of interest quickly move out of view due to sample movement and growth. Here, we present a self-driving, multiresolution light-sheet microscope platform controlled by custom Python-based software, to simultaneously observe and quantify subcellular dynamics in the context of entire organisms in vitro and in vivo over hours of imaging. We apply the platform to the study of developmental processes, cancer invasion and metastasis, and we provide quantitative multiscale analysis of immune-cancer cell interactions in zebrafish xenografts.

Indexed as

Equipment DesignMicroscopy, FluorescenceSignal Processing, Computer-AssistedWhole Body ImagingZebrafishAnimalsCell Growth ProcessesHeterograftsNeoplasm InvasivenessNeoplasm MetastasisSoftwareTumor Cells, Cultured

Identifiers

PMID39939720
PMCPMC12039951

What Socratic 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 Socratic graph.