on Tuesday, August 7th, 2018 2:49 | by Anders Eriksson
Fussl was crossed with either Stinger (ctrl) or a UAS-TNT line to block the synaptric transmission of the Fussl positive neurons. A third construct was used but did not yield any data due to difficulties with their flight performance. The Fussl-Stinger along with Fussl-TNT flies do also show difficulties in flying. These differences will be assessed.
The experiment was done as a pilot experiment before doing a larger scale.
The data is a bit inconsistent but shows a positive and reassuring numerical difference. The control is a bit lower than expected, compared to WTB flies (showing usually a PI 0f 0.6). The flies have a slightly different background than wtb flies and have pale orange eyes (still no apparent impairments in vision). Further experiments will be conducted before proceeding with a larger sample size of the flies.
on Monday, July 30th, 2018 1:52 | by Anders Eriksson
FoxP3955 flies were raised and compared to normal WTB flies. Reportedly, the Foxp mutants have a reduced flight performance as their total flight duration is decreased. This was also something I experienced. The problem seemed to be greater due to the heat in the flight simulator room, initial temperature was 27°C but increased to close to 30°C. I had troubles getting a large sample size enough (same number of Foxp and wtb were loaded into the flight simulator), heat-shock proteins and other stress-related behavior might be an issue. The genotype of the flies were known during the hooking of the flies but was later on concelead and flies were randomly distributed.
on Monday, July 2nd, 2018 1:55 | by Anders Eriksson
on Monday, June 11th, 2018 1:29 | by Anders Eriksson
on Monday, June 4th, 2018 9:18 | by Anders Eriksson
on Friday, May 18th, 2018 3:34 | by Christian Rohrsen
This is a picture of the supplemental figure from Maye et al. 2007
on Tuesday, May 15th, 2018 12:26 | by Christian Rohrsen
Confocal image MAX stack of one of the brains at 20x
and at 40x
In this link we have a video of a 3D stainning pattern zoomed_CC
on Monday, May 14th, 2018 11:22 | by Christian Rohrsen
Axel stainning from both drivers together. I would say it really contains both driver lines.
This are my stainnings at the fluorescence microscope (no confocal). This is to show that in all of the 10-12 brains I have looked at, they all had the c232 pattern present
In addition, they had many more neurons outside from the central complex which I believe belong to the c105-G4 line. This is my only proof to show that c105 is also present, since the R1 neurons seem to be hidden when R2 neurons are stained.
on Monday, March 19th, 2018 2:35 | by Christian Rohrsen
Trace segment from Maye et al. 2007 in the uniform arena
Trace after filtering by selecting the first 8 IMFs (intrinsic mode functions) from EMD (empirical mode decomposition). Since the signal should be quite clean I do not take out the first IMFs. The last IMFs, however, are too slow and change the baseline to much
Since this is separating behavior adapting to the data intrinsic time scales I am now thinking of analysing with the SMAP algorithm to see if the behavior is more or less nonlinear at certain time scales.
In addition, I have thought of using ICA (Independent component analysis), that is an algorithm famous for the blind source separation problem by extracting the most independent signals from the input signals (in this case the IMFs which are different time scales of the behavior). So the ICs should consist of mixes of different time scales that are correlated together and thus belong (but not necessarily) to the same action/movement module/… Here a few ICs (from 10). My idea is that muscles might coordinate independently between ICs but coordinated within ICs. However to prove that is not that easy I guess
on Monday, January 29th, 2018 12:40 | by Christian Rohrsen
Some traces from this week just so that you have an idea how do they look like. To me they are not the optimal traces I expected. But one can see some signal there. I will start the screen hoping to get enough good traces without too much work.
what do you think is the best quality control for accepting a trace for the analysis or not. I was thinking the 3D mapping gives a good hint but without quantification.