I have data from different wound healing experiments (Epithelial cells) where each experiment produces data that is at a different range than the data from other experiments. The effect seems to be consistent between controls and corresponding treatments each day but cannot be compared to other days because the ranges are so wide.
Everything is the same protocol wise, the only source of change that is probably causing the difference is the wound size. I have to use a tool to scratch the surface of the plate but it's difficult to produce consistent wound sizes. Especially since I'm working on the um scale. For example, some experiments have a wound size of 300 um and other experiments might have a wound that is 600 um.
Within single experiments there seems to be some statistical difference but I don't know how to compare experiments from one day to the experiments of another day.
Does anybody know how to normalize this data and/or do statistical analysis?
Hi Daniel
In wound healing process we assay the result in different days. it is a normal methods. We should continue our experiment until we can observe 50 % healing. i don't understand what is abnormal in your data?
please explain more, maybe I could help you.
Hi Marjan,
To give you a little more context, we plate the cells and wait until they're confluent, then we do a scratch with a scraping tool. This is a 24 well plate that is then imaged under a microscope/incubator combo until the wound heals 100%, with images taken every 20 minutes.
What is abnormal is that sometimes the wound is very large and takes maybe 20 hours to heal and other times (on other days) the wound is small and takes maybe 12 hours to heal. Our treatment seems to be producing an effect in both scenarios when I plot the data but I don't know how to graph this data together or combine them as the timeframes are different.
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