NeuroScale performs background noise removal, binning, scaling to standard normal distribution and addition of null cells of calcium imaging data.
-f : filename
-ss: session size
syntax -> (number of sessions) (size of session 1) (size of session 2) ...
-sn: session name
syntax -> (number of sessions) (name of session 1) (name of session 2) ...
-hp: threshold of highpass filter (default: 0.1Hz)
-bs: bin size (default: 1)
-sf: suffix mode (default: False)
-nu: number of null cells (default: 100)
[example]
-f filename.csv -sn 2 A B
-> A.csv, B.csv are output.
-f filename.csv -sn 2 A B -sf
-> filename_A.csv, filename_B.csv are output.
python neuroscale.py -f filename.csv -ss 4 1000 500 1000 2000 -sn 4 A B C D -hp 0.1 -bs 1 -sf