2015
DOI: 10.3791/53749-v
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Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

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Cited by 4 publications
(1 citation statement)
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“…Background noise was removed using the subtract background function in F iji . To analyze the actin filament flow, flow velocity vectors ( v x , v y ) were obtained from spatiotemporal image correlation spectroscopy analysis using M atlab scripts (Ashdown et al ., 2015) with parameter settings: pixelSize 0.146, timeframe 5, tauLimit 4, filtering FourierWhole, MoveAverage 21, ROIsize 16, ROIshift 4, TOIsize 3, and TOIshift 1 as described in the manual (Ashdown et al ., 2015). After the flow velocity vectors were acquired from each cell, all angles of the flow velocity vectors from the entire analyzed frames were calculated and normalized as probability to get the direction distribution of the actin filament flow.…”
Section: Methodsmentioning
confidence: 99%
“…Background noise was removed using the subtract background function in F iji . To analyze the actin filament flow, flow velocity vectors ( v x , v y ) were obtained from spatiotemporal image correlation spectroscopy analysis using M atlab scripts (Ashdown et al ., 2015) with parameter settings: pixelSize 0.146, timeframe 5, tauLimit 4, filtering FourierWhole, MoveAverage 21, ROIsize 16, ROIshift 4, TOIsize 3, and TOIshift 1 as described in the manual (Ashdown et al ., 2015). After the flow velocity vectors were acquired from each cell, all angles of the flow velocity vectors from the entire analyzed frames were calculated and normalized as probability to get the direction distribution of the actin filament flow.…”
Section: Methodsmentioning
confidence: 99%