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Automated three-dimensional single cell phenotyping of spindle dynamics, cell shape, and volume
[article]
2015
arXiv
pre-print
We present feature finding and tracking algorithms in 3D in living cells, and demonstrate their utility to measure metrics important in cell biological processes. We developed a computational imaging hybrid approach that combines automated three-dimensional tracking of point-like features with surface determination from which cell (or nuclear) volume, shape, and planes of interest can be extracted. After validation, we applied the technique to real space context-rich dynamics of the mitotic
arXiv:1504.00714v1
fatcat:u23d4byqn5ftrdxddri4or5gqy