2014
DOI: 10.1007/s11340-014-9874-2
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A Fast Iterative Digital Volume Correlation Algorithm for Large Deformations

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Cited by 208 publications
(176 citation statements)
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“…Briefly, three-dimensional time-lapsed volumetric images of fluorescent beads embedded in polyacrylamide substrates were recorded using laser scanning confocal microscopy. A new fast iterative digital volume correlation algorithm was used to track the motion of the embedded fluorescent beads in all three dimensions between time increments (20). This newly developed fast iterative digital volume correlation technique provides significantly higher spatial resolution, signal/noise, and faster computation times than our previous digital volume correlation algorithm (21).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Briefly, three-dimensional time-lapsed volumetric images of fluorescent beads embedded in polyacrylamide substrates were recorded using laser scanning confocal microscopy. A new fast iterative digital volume correlation algorithm was used to track the motion of the embedded fluorescent beads in all three dimensions between time increments (20). This newly developed fast iterative digital volume correlation technique provides significantly higher spatial resolution, signal/noise, and faster computation times than our previous digital volume correlation algorithm (21).…”
Section: Methodsmentioning
confidence: 99%
“…The quantity B ϭ F⅐F T is the left Cauchy-Green tensor, and J is the Jacobian of deformation gradient tensor F. In both of these relations, the deformation gradient tensor F is calculated from the full-field displacements using an 11-tap discrete differentiation kernel described by Farid et al (23), which we showed to provide optimal spatial accuracy in the presence of noise (20).…”
Section: Methodsmentioning
confidence: 99%
“…Briefly, three-dimensional timelapsed volumetric images of fluorescent beads embedded in PA substrates were recorded using laser scanning confocal microscopy (LSCM). A new fast iterative digital volume correlation (FIDVC) algorithm was used to track the motion of the embedded fluorescent beads in all three dimensions between each time increment [22]. Owing to the spatial refinement of the subvolume correlation windows, the FIDVC is capable of capturing large nonlinear displacement fields with high spatial resolution while maintaining low computation times (%1.5 min per time increment for a typical image size of 512 Â 512 Â 160 voxels).…”
Section: Three-dimensional Traction Force Microscopymentioning
confidence: 99%
“…Cultured cells were maintained in a humidified chamber at 378C with 5% CO 2 . Cells were trypsinized using 0.25% trypsin and seeded in SC medium on functionalized gels at a density of 950 SCs cm 22 for 3 h to allow for cellular attachment. Cell-labelling solution, Vybrant DiD (far red, 30 ml ml 21 of SC medium) was applied to each sample for 30 min at 378C and 5% CO 2 followed by three rinses with medium for 10 min at 378C and 5% CO 2 .…”
Section: Cell Culturementioning
confidence: 99%
“…3. For calculating cell force generation and deformation, generate a computational code to find the displacements of the fluorescence beads following the TFM/DVC protocols 31 .…”
Section: Tracking Cell Migration Utilizing Tfmmentioning
confidence: 99%