"CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data" datasets

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Dataset information

Catalog

Zenodo catalog

Country of origin

EU institutions

Updated

2023.09.26 00:00

Created

2023.01.01

Available languages

English

Keywords

cell tracking, live-cell imaging, causal discovery

Datasource

Official portal for European data link

Quality scoring

Dataset description

Datasets from the article: CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data by Franck Simon, Maria Colomba Comes, Tiziana Tocci, Louise Dupuis, Vincent Cabeli, Nikita Lagrange, Arianna Mencattini, Maria Carla Parrini, Eugenio Martinelli, Hervé Isambert. The original videos are uploaded as: "20161230.zip", "20170105.rar", "Video_2017_0517.zip". Details for each experiment can be found in: "Experiments' details.zip". The ROIs (ROI: Region of Interest) are uploaded as .tif files in: "EXTRACTED ROIs.zip". The MATLAB data is uploaded in "MATLAB_DATA.rar" and includes: the cancer cells' trajectories (subfolder: "TUMOR TRAJECTORIES"), the immune cells' trajectories (subfolder: "IMMUNE TRAJECTORIES"), the ROIs videos as .mat files for the detection of cells (subfolder: "ROI MAT"), the ROIs further cropped for the extraction of shape descriptors (folder: "ROI_TU MAT"). The ROIs videos .mat files included in the last two subfolders are stopped after their apoptosis has been detected.

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190K+

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countries and EU institutions

2019

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SLA

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