Evidence map›Paper›PMID 36076039›Full record

ArticleNature methods2022

Event-driven acquisition for content-enriched microscopy.

Dora Mahecic, Willi L Stepp, Chen Zhang, Juliette Griffié, Martin Weigert, Suliana Manley

Abstract read
In one paragraph

Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Mesolens imaging in microbiology.Essays in biochemistry · 2026
    Review
  3. Article
  4. Deep Learning for Localization Microscopy in 2D and 3D.Accounts of chemical research · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Ultrafast Dynamic Defect Inspection With Computational Neuromorphic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Article
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

6 authors.

Dora Mahecic *Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. dora.mahecic@gmail.com.ORCID http://orcid.org/0000-0003-1004-4771
Willi L Stepp *Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-9818-0377
Chen ZhangInstitute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-1468-2906
Juliette GriffiéInstitute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.
Martin WeigertInstitute of Bioengineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.
Suliana ManleyInstitute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. suliana.manley@epfl.ch.ORCID http://orcid.org/0000-0002-4755-4778

Funding

European Research Council 819823Howard Hughes Medical Institute
6 · The paper itself

Abstract

A common goal of fluorescence microscopy is to collect data on specific biological events. Yet, the event-specific content that can be collected from a sample is limited, especially for rare or stochastic processes. This is due in part to photobleaching and phototoxicity, which constrain imaging speed and duration. We developed an event-driven acquisition framework, in which neural-network-based recognition of specific biological events triggers real-time control in an instant structured illumination microscope. Our setup adapts acquisitions on-the-fly by switching between a slow imaging rate while detecting the onset of events, and a fast imaging rate during their progression. Thus, we capture mitochondrial and bacterial divisions at imaging rates that match their dynamic timescales, while extending overall imaging durations. Because event-driven acquisition allows the microscope to respond specifically to complex biological events, it acquires data enriched in relevant content.

Indexed as

Biological AssayMitochondriaMicroscopy, FluorescencePhotobleaching

Identifiers

PMID36076039
PMCPMC7613693

What OpenQuestion holds

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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.