Gustatory preference under redlight

I managed to write some code that shortens Tina’s optomotor periods and then adjusted the metadata between our experiments so that the script would run without any errors. So this is what our combined tests of expressing the foraging RNAi in all neurons looks like:

The full dataset is also available on the UR publication server.

CantonS under bluelight

Preference Index: (Pur-Salz)/(Pur+Salz+Neutral)

Stichprobengröße N: 20 jeweils

CantonS under redlight

Preference Index: (Pur-Salz)/(Pur+Salz+Neutral)

Stichprobengröße N: 20 jeweils

Bluelight

PI: (Pur-Salz)/(Pur+Salz+Neutral)

Stichprobengröße: N(0M) = 12; N(0,025M) = 4; N(0,5) = 12; N(1,5M) = 13; N(2,5M) = 12; N(3,5M) = 10

Redlight

PI: (Pur-Salz)/(Pur+Salz+Neutral)

Stichprobengröße: N(0M) = 14; N(0,025M) = 4; N(0,5) = 13; N(1,5M) = 12; N(2,5M) = 13; N(3,5M) = 10

Last week, Pavan Kaushik and I finally got the VR-panel setup working. I placed four flies in the machine, one in each VR cube, and then ran each fly three times with a sequence of 8 different pattern wavelengths, also repeated three times, each one rotated both counter-clockwise and clockwise. This is also the sequence which we will use in the course. This is what the data should look like:

and this is what our data looked like:

Looks to me like we got it working on the first try. Love that data. Great example to compare the course data against.

The code for evaluating the VR-Panel data is on GitHub.

A: Red Light, 1min (N = 25-30)
B: Yellow Light, 1min (N = 26-30)
C: Red Light, 10 min (N = 18-30)
D: Yellow Light, 10min (N = 16-30)