about
Microfluidic chips for in vivo imaging of cellular responses to neural injury in Drosophila larvaeAutomated deep-phenotyping of the vertebrate brain.Agglomerative joint clustering of metabolic data with spike at zero: A Bayesian perspective.Using microfluidics chips for live imaging and study of injury responses in Drosophila larvae.A radial flow microfluidic device for ultra-high-throughput affinity-based isolation of circulating tumor cells.Brain activity patterns in high-throughput electrophysiology screen predict both drug efficacies and side effects.Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders.
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Q27310257-B9FFA086-2DED-45E4-9BE2-F8556C0E7226Q30352599-57B4C019-D64F-4676-9DFB-89DA08F7E7AAQ30975691-90682560-7BD5-424E-8672-21AB14BE65B1Q33981245-D2B7CC89-CDD0-4B6D-90B1-0ABA51C9E5E8Q35681674-6D543099-6CD0-4A1E-B6C3-7002AE89D947Q47863623-F358778B-CFD5-4192-AF8E-A789F8C1951EQ64929279-40BACD9F-BEB9-4D65-BF7D-4D4FF160A35C
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description
investigador
@es
researcher
@en
wetenschapper
@nl
name
Mostafa Ghannad-Rezaie
@en
Mostafa Ghannad-Rezaie
@nl
type
label
Mostafa Ghannad-Rezaie
@en
Mostafa Ghannad-Rezaie
@nl
prefLabel
Mostafa Ghannad-Rezaie
@en
Mostafa Ghannad-Rezaie
@nl
P31
P496
0000-0003-1928-1909