An in vivo microscopy dataset for the characterization of leukocyte death

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.

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Publication Details

Journal
Scientific Data
Published
2025-04-09
DOI
https://doi.org/10.1038/s41597-025-04632-6
Primary Topic
Cell Adhesion Molecules Research
Type
article
Field-Weighted Citation Impact
0.00

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article

An in vivo microscopy dataset for the characterization of leukocyte death

Pau Carrillo-Barberà, Elisa Palladino, Mauro Di Pilato, Alain Pulfer et al.
Scientific Data
Cell Adhesion Molecules Research
article

An in vivo microscopy dataset for the characterization of leukocyte death

Pau Carrillo-Barberà, Elisa Palladino, Mauro Di Pilato, Alain Pulfer, Tommaso Virgilio, Mariela Segura, Marcus Thelen, Hans‐Uwe Simon, Santiago González, Rolf Krause, Diego Ulisse Pizzagalli, Nina Germič, Paola Antonello
article en

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.

Scientific DataVol. 12(1)
University of Bern (CH), The University of Texas MD Anderson Cancer Center (US), Universitat de València (ES), ETH Zurich (CH), Institute for Biomedicine (IT), Instituto de Biomedicina de Valencia (ES), Weizmann Institute of Science (IL), Università della Svizzera italiana (CH), Universidad de Extremadura (ES)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 88%
Cell Adhesion Molecules Research
DOIOpen Access PDFOpenAlex
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