At the moment, I'm trying to analyse a difficult set of data that I've been thinking but really don't know how to do it.
So basically, i have two populations of cells and I notice one of them doesn't seem to undergo random migration and are in some kind of patterned movement while the other one looks more like it. There's no external chemotax and the cells are in a homogenous environment, so the non-random migration is potentially intrinsic to one cell type, while the other doesn't have this ability.
So I would like to analyse this but can't think of any way to do so. So I bring the problem on here to ask if anyone knows any kind of way/algorithm/software that will be able to quantify this to confirm my hypothesis?
I can ask to make a simulation, one is random walk, the other is not, but this would take a lot of effort, so I'm looking for a simpler way to do this.
I would really appreciate if anyone can shed some light!
The first idea I had was Brownian Motion, a technique used by our ZetaView instrument to track / measure properties by particle movement. This is done by lighting up the particles/ cells using laser light and recording the scattered light by a video file.
Hi Edward,
The technique might not be of use here as cells are attached to the bottom of a petri dish so not entirely a brownian motion unfortunately. However, the random factor here is that cells move wherever they want, so source of chemoattractant present. So maybe the same algorithm can be applied?
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