Kuvaus
This dataset contains tracking results of and immune cells (Mononucleated cells and neutrophils) perfused on endothelial monolayer under physiological flow speeds and with or without IL-1β treatment. Imaged using brightfield microscopy using a Nikon Eclipse Ti2-E microscope and 20x objective.
Perfused cells from the generated videos were segmented using custom Stardist models. Tracking was performed using TrackMate, and tracking results were analyzed using a custom CellTracksColab notebook.
The dataset here contains the CSV files generated by TrackMate (Track and Spots information), the tracking data stored in the CellTracksColab format (Analysis.zip), and the analysis output used in the paper (Analysis.zip).
Specifications
Sample information
Immune cells (Mononucleated cells and neutrophils) perfused on HUVEC cells under physiological flow speeds: 400 µm/s (p1), 200 µm/s (p2), 100 µm/s (p3) and 400 µm/s (p4).
Control and IL-1β treated (10 ng/ml for 2 hours and 5 ng/ml for 16 hours) HUVEC monolayer
Control --> ctrl
IL-1β treated (10 ng/ml for 2 hours) --> il2
IL-1β treated (5 ng/ml for 16 hours) --> il16
CD44 antibody blocking of Immune cells
cd44
Imaging specs
Microscope: Nikon Eclipse Ti2-E, 20x objective
Data Type: Brightfield microscopy images (16-bit)
Image Size: 1024 x 1022 pixels (Pixel size: 650 nm)
Recording speed 25 frames/s
DL models:
Neutrophils: https://doi.org/10.5281/zenodo.10572231
Mononucleated cells: https://doi.org/10.5281/zenodo.10572200
Model Training and predictions: Conducted using ZeroCostDL4Mic (https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki)
Tracking parameters (TrackMate):
Immune cells: Linking max distance: 15 px; Gap-closing max distance: 15 px; Gap-closing max frame gap: 4. Track filtering: min number of spots in the tracks 11.79
Detection: label detector
Tracking: Simple LAP detector
Tracking analysis
Tracks were analyzed using a customized CellTracksColab notebook (https://github.com/CellMigrationLab/PDAC_DL/tree/main/CellTracksColab)
Perfused cells from the generated videos were segmented using custom Stardist models. Tracking was performed using TrackMate, and tracking results were analyzed using a custom CellTracksColab notebook.
The dataset here contains the CSV files generated by TrackMate (Track and Spots information), the tracking data stored in the CellTracksColab format (Analysis.zip), and the analysis output used in the paper (Analysis.zip).
Specifications
Sample information
Immune cells (Mononucleated cells and neutrophils) perfused on HUVEC cells under physiological flow speeds: 400 µm/s (p1), 200 µm/s (p2), 100 µm/s (p3) and 400 µm/s (p4).
Control and IL-1β treated (10 ng/ml for 2 hours and 5 ng/ml for 16 hours) HUVEC monolayer
Control --> ctrl
IL-1β treated (10 ng/ml for 2 hours) --> il2
IL-1β treated (5 ng/ml for 16 hours) --> il16
CD44 antibody blocking of Immune cells
cd44
Imaging specs
Microscope: Nikon Eclipse Ti2-E, 20x objective
Data Type: Brightfield microscopy images (16-bit)
Image Size: 1024 x 1022 pixels (Pixel size: 650 nm)
Recording speed 25 frames/s
DL models:
Neutrophils: https://doi.org/10.5281/zenodo.10572231
Mononucleated cells: https://doi.org/10.5281/zenodo.10572200
Model Training and predictions: Conducted using ZeroCostDL4Mic (https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki)
Tracking parameters (TrackMate):
Immune cells: Linking max distance: 15 px; Gap-closing max distance: 15 px; Gap-closing max frame gap: 4. Track filtering: min number of spots in the tracks 11.79
Detection: label detector
Tracking: Simple LAP detector
Tracking analysis
Tracks were analyzed using a customized CellTracksColab notebook (https://github.com/CellMigrationLab/PDAC_DL/tree/main/CellTracksColab)
| Koska saatavilla | 19 syysk. 2025 |
|---|---|
| Julkaisija | Zenodo |
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