Arcos is aimed at analysing time series data which should be arranged in long format. Each row should define the object’s location, time, and optionally the measurement value. For the implementations in R and python, the objects don't necessarily need to be tracked over time. However, it is recommended as it allows a more in-depth downstream analysis of ARCOS's output.
An example dataset could look like this:
Index
t
x
y
m
id
Position
0
1
0.22
-0.15
0
1
0
1
1
0.88
-0.11
0
2
0
2
1
1.93
0.07
0
3
0
3
1
2.95
0.18
0
4
0
4
1
3.90
-0.04
0
5
0
For the napari-plugin, as of now, a track id is required.