Evidence map›Paper›PMID 38649742›Full record

ArticleNature methods2024

Virtual reality-empowered deep-learning analysis of brain cells.

Doris Kaltenecker, Rami Al-Maskari, Moritz Negwer, Luciano Hoeher, Florian Kofler, Shan Zhao, Mihail Todorov, Zhouyi Rong, Johannes Christian Paetzold, Benedikt Wiestler and 9 more

Open access · hybridAbstract 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
21.9field-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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  9. Exploring interaction paradigms for segmenting medical images in virtual reality.International journal of computer assisted radiology and surgery · 2025
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  18. Tissue histology in 3D.Nature methods · 2024
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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

19 authors at 6 institutions in 4 countries.

Doris Kaltenecker *Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.
Rami Al-Maskari *Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Moritz Negwer *Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany.
Luciano HoeherInstitute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany.
Florian KoflerDepartment of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany.
Shan ZhaoInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Mihail TodorovInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.ORCID http://orcid.org/0000-0002-8627-1260
Zhouyi RongInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Johannes Christian PaetzoldInstitute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany.
Benedikt WiestlerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-2963-7772
Marie PiraudHelmholtz AI, Helmholtz Munich, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-4917-2458
Daniel RueckertDepartment of Computing, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-5683-5889
Julia GeppertInstitute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.
Pauline MorignyInstitute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.
Maria RohmInstitute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-3926-1534
Bjoern H MenzeDepartment of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany.
Stephan HerzigInstitute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-3950-3652
Mauricio Berriel DiazInstitute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany. mauricio.berrieldiaz@helmholtz-munich.de.ORCID http://orcid.org/0000-0003-4670-919X
Ali ErtürkInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany. ali.erturk@helmholtz-munich.de.ORCID http://orcid.org/0000-0001-5163-5100
Helmholtz Zentrum München · DEHeidelberg University · DETUM Klinikum · DEImperial College London · GBKoç University · TRUniversity of Zurich · CH

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01KX2121Deutsche Forschungsgemeinschaft (German Research Foundation) 390857198Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 1052Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 824Deutsche Forschungsgemeinschaft (German Research Foundation) TR 296EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 949017Else Kröner-Fresenius-Stiftung (Else Kroner-Fresenius Foundation) 2020 EKSE.23
6 · The paper itself

Abstract

Automated detection of specific cells in three-dimensional datasets such as whole-brain light-sheet image stacks is challenging. Here, we present DELiVR, a virtual reality-trained deep-learning pipeline for detecting c-Fos

Indexed as

BrainDeep LearningVirtual RealityAnimalsHumansImage Processing, Computer-AssistedMiceNeuronsProto-Oncogene Proteins c-fosSoftwareProto-Oncogene Proteins c-fos

Identifiers

PMID38649742
PMCPMC11239522
OpenAlexW4395002428

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.