on Monday, August 31st, 2020 12:54 | by Anders Eriksson
I wanted to expand and look into some general behavior of the mbon-2 flies. Mostly as a complement to the already existing data.
on Monday, July 20th, 2020 1:38 | by Anders Eriksson
-Introduced Sayani to the wonderful world of Drosophila
-Been doing some DTS coding
-Preparing flies to do optomotor response for Mathias Raß
on Monday, July 13th, 2020 1:39 | by Anders Eriksson
on Monday, June 22nd, 2020 1:58 | by Anders Eriksson
-Added progressbar for data validation
-Updated the progress bar (see figure 1)
-Fixed bug with wrong sample size (see figure 2)
-Fixed bug with unorganized barplots (see figure 2)
Exp always to the right:
plotOMparams <- plotOMparams[order(plotOMparams$desc),]
plotOMparams$group <- factor(plotOMparams$group, levels=paste(unique(plotOMparams$group)))
progress <- c(round(l(100/(length(xml_list)))),round(flycount(100/(totalflies))))
-Finished rescreening last Thursday. Started to evaluate the new data
Optomotor platform: Ran a few more tests to confirm that the machine was still working, it is. I also adjusted the 0 line so that it is at 0, by readjusting the “zero line” screw. Looks much better now but it is still not perfectly at 0. A difference 0.1 on the computer screen translates to 100 in the evaluation chart.
Ran a few more tests to confirm that the 0 line is always at 0. Readjusted the “zero line” screw. Looks much better now. It is still not perfectly at 0 but a difference of 0.1 in the chart translates to 100 in the evaluation graph.
on Monday, May 25th, 2020 12:23 | by Anders Eriksson
Recently I measured the optomotor response in T4/T5 flies. As expected, they did not respond to the optomotor stimulus as seen in the left chart below. However, statistical evaluation struggles to quantify this difference. It might be that this is because of the low sample size, or that we are using the wrong statistical analysis?
on Monday, May 4th, 2020 1:49 | by Anders Eriksson
on Monday, April 20th, 2020 1:57 | by Anders Eriksson
I experienced some issues with the first batch of the UAS-TNT control flies, theyh ad a very low learning curve. The second batched looked fine but the still have a slightly lower learning PI during Test1 than I want.
on Tuesday, March 31st, 2020 1:48 | by Anders Eriksson
on Monday, February 3rd, 2020 12:57 | by Anders Eriksson
on Monday, September 23rd, 2019 1:52 | by Anders Eriksson
The different MBON types and their averaged preference index for Test2/3 during isolated operant component in the flight simulator. Each letter corresponds to a randomized MBON subtype. All but one is being displayed due to low sample size.