Evidence map›Paper›PMID 40204757›Full record

ArticleScientific data2025

An in vivo microscopy dataset for the characterization of leukocyte death.

Alain Pulfer, Diego Ulisse Pizzagalli, Miguel Palomino Segura, Nina Germic, Tommaso Virgilio, Mauro Di Pilato, Pau Carrillo Barbera, Elisa Palladino, Paola Antonello, Marcus Thelen and 3 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Alain Pulfer *Institute for Research in Biomedicine, Faculty of Biomedical Sciences, USI, Lugano, Switzerland.
Diego Ulisse Pizzagalli *Institute for Research in Biomedicine, Faculty of Biomedical Sciences, USI, Lugano, Switzerland.
Miguel Palomino SeguraDepartment of Physiology, Faculty of Sciences. Universidad de Extremadura, Badajoz, Spain.
Nina GermicInstitute for Pharmacology, University of Bern, Bern, Switzerland.
Tommaso VirgilioInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USI, Lugano, Switzerland.
Mauro Di PilatoDepartment of Immunology, University of Texas MD Anderson Cancer Center, Texas, USA.ORCID http://orcid.org/0000-0003-3902-7406
Pau Carrillo BarberaInstituto de Biotecnología y Biomedicina (BioTecMed), Universitat de València, Valencia, Spain.ORCID http://orcid.org/0000-0002-6214-6238
Elisa PalladinoInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USI, Lugano, Switzerland.
Paola AntonelloDepartment of Immunology, Weizman Institute of Science, Rehovot, Israel.
Marcus ThelenInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USI, Lugano, Switzerland.ORCID http://orcid.org/0000-0002-3443-1605
Hans-Uwe SimonInstitute for Pharmacology, University of Bern, Bern, Switzerland.
Rolf KrauseEuler Institute, Faculty of Informatics, USI, Lugano, Switzerland.
Santiago F GonzalezInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USI, Lugano, Switzerland. santiago.gonzalez@irb.usi.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. To address these needs, we present a curated dataset of microscopy videos depicting the death of neutrophils, eosinophils, and dendritic cells, acquired in the spleen and in the lymph node of mice under inflammatory conditions. The dataset provides time-lapse imaging data, along with coordinates in space and time of cell death events displaying apoptotic-like morphodynamics, and 3D reconstruction of the cell morphology at each time point. Altogether, these data will be pivotal for developing computer vision and bioimage analysis methods to advance cell death research.

Indexed as

ApoptosisCell DeathIntravital MicroscopyLeukocytesAnimalsDendritic CellsEosinophilsLymph NodesMiceNeutrophilsSpleenTime-Lapse Imaging

Identifiers

PMID40204757
PMCPMC11982338

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LicenceCC BY-NC-ND
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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.