Evidence map›Paper›PMID 39294366›Full record

ArticleNature methods2024

Arkitekt: streaming analysis and real-time workflows for microscopy.

Johannes Roos, Stéphane Bancelin, Tom Delaire, Alexander Wilhelmi, Florian Levet, Maren Engelhardt, Virgile Viasnoff, Rémi Galland, U Valentin Nägerl, Jean-Baptiste Sibarita

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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. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Johannes RoosInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France.
Stéphane BancelinInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France.
Tom DelaireInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France.
Alexander WilhelmiFrankfurt Institute for Advanced Studies, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-4766-5128
Florian LevetInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France.
Maren EngelhardtInstitute of Anatomy and Cell Biology, Medical Faculty, Johannes Kepler University, Linz, Austria.
Virgile ViasnoffMechanobiology Institute, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0003-3949-2244
Rémi GallandInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France.ORCID http://orcid.org/0000-0001-7117-3281
U Valentin NägerlInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France.ORCID http://orcid.org/0000-0001-6831-9008
Jean-Baptiste SibaritaInterdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, Bordeaux, France. jean-baptiste.sibarita@u-bordeaux.fr.ORCID http://orcid.org/0000-0002-9920-7700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative microscopy workflows have evolved dramatically over the past years, progressively becoming more complex with the emergence of deep learning. Long-standing challenges such as three-dimensional segmentation of complex microscopy data can finally be addressed, and new imaging modalities are breaking records in both resolution and acquisition speed, generating gigabytes if not terabytes of data per day. With this shift in bioimage workflows comes an increasing need for efficient orchestration and data management, necessitating multitool interoperability and the ability to span dedicated computing resources. However, existing solutions are still limited in their flexibility and scalability and are usually restricted to offline analysis. Here we introduce Arkitekt, an open-source middleman between users and bioimage apps that enables complex quantitative microscopy workflows in real time. It allows the orchestration of popular bioimage software locally or remotely in a reliable and efficient manner. It includes visualization and analysis modules, but also mechanisms to execute source code and pilot acquisition software, making 'smart microscopy' a reality.

Indexed as

Image Processing, Computer-AssistedMicroscopySoftwareWorkflowHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.