The Biology and Therapeutic Application of Mesenchymal Cells 2016
DOI: 10.1002/9781118907474.ch24
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Live cell imaging and single cell tracking of mesenchymal stromal cellsin vitro

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Cited by 3 publications
(9 citation statements)
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“…Now, we address these limitations by single-cell tracking of SAOS-2 cells co-cultured with HDFs. This method records the behaviour and fate of individual cells and their progeny across multiple cell divisions and generations [ 38 , 39 , 40 ]. By identifying the fate of individual cells, single-cell tracking overcomes the limitations of pooled cell assays that average the outcomes for thousands of cells.…”
Section: Introductionmentioning
confidence: 99%
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“…Now, we address these limitations by single-cell tracking of SAOS-2 cells co-cultured with HDFs. This method records the behaviour and fate of individual cells and their progeny across multiple cell divisions and generations [ 38 , 39 , 40 ]. By identifying the fate of individual cells, single-cell tracking overcomes the limitations of pooled cell assays that average the outcomes for thousands of cells.…”
Section: Introductionmentioning
confidence: 99%
“…By identifying the fate of individual cells, single-cell tracking overcomes the limitations of pooled cell assays that average the outcomes for thousands of cells. An interesting finding of single-cell tracking studies is that sister cells are more similar to each other than they are to their mother cell or their own progeny [ 38 , 39 , 40 ].…”
Section: Introductionmentioning
confidence: 99%
“…Single-cell tracking software was adapted from that previously developed in MATLAB (TrackPad: https://github.com/Jamcor/TrackPad), and was used to follow the fate of individual cells and their progeny in phase contrast time-lapse recordings [38,39]. Cells present at the beginning of experiments, were defined as the 'starting population', while sequential cell divisions generated 'first', 'second', 'third' and very occasionally 'fourth' generations of progeny.…”
Section: Single-cell Tracking and Analysismentioning
confidence: 99%
“…Moving cell location was determined during single-cell tracking in Trackpad, while further analysis was in RStudio, similar to earlier reports [38,39]. In brief, mean cell migration velocity was calculated for all tracked cells, by firstly identifying cell centroids in phase contrast images at relevant time points at 2 h intervals, performed in Trackpad.…”
Section: Determination Of Cell Migration Velocitymentioning
confidence: 99%
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