UFMTrack phase contrast imaging dataset of CD4 T cell interaction with pMBMEC, part 1.
Mykhailo Vladymyrov; Luca Marchetti; Sidar Aydin; Sasha Soldati; Adrien Mossu; Arindam Pal; Laurent Gueissaz; +2 Authors
Mykhailo Vladymyrov; Luca Marchetti; Sidar Aydin; Sasha Soldati; Adrien Mossu; Arindam Pal; Laurent Gueissaz; Akitaka Ariga; Britta Engelhardt;
UFMTrack phase contrast imaging dataset of CD4 T cell interaction with pMBMEC, part 1.
This work was supported by an UniBe ID Grant to MV, BE and AA and the Microscopy Imaging Center (MIC) of the University of Bern.
The phase-contrast dataset (part 1) of CD4 T cell interaction with pMBMEC used for evaluation of the UFMTrack framework.
- University of Bern Switzerland
Automated analysis, blood-brain barrier, cell tracking under flow, deep learning, flow chamber, leukocyte trafficking, live cell imaging, machine learning, microfluidics, multiple sclerosis, T cell
Automated analysis, blood-brain barrier, cell tracking under flow, deep learning, flow chamber, leukocyte trafficking, live cell imaging, machine learning, microfluidics, multiple sclerosis, T cell
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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