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LernerLab / GuPPy

Guided Photometry Analysis in Python, a free and open-source FP analysis tool.
GNU General Public License v3.0
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Help to analyse doric files. #77

Open PedrosoJAB opened 5 months ago

PedrosoJAB commented 5 months ago

Hi, hope if someone could help me. I opened my Doric file on the Guppy and on the step 2 (Open storenames) gave me those options to me: AIN01XAOUT01-lockIn AIN02XAOUT01-lockIn AIN02XAOUT02-lockIn AIN01 AIN02 AOUT01 AOUT02

the channel 1 is 470nm (interest) channel 2 is the 405nm (isosbestic).

But I don't know which one of these options should I use for the analysis neither what names_for_storenames I should use.

I am a beginner of this type of analysis and don't have to much experience with that.

Thanks.

venus-sherathiya commented 5 months ago

AIN01XAOUT01-lockIn AIN02XAOUT01-lockIn AIN02XAOUT02-lockIn AIN01 AIN02 AOUT01 AOUT02

Out of the options above, you should be able to know which one is 470 and which one is 405. If you open your file you will get an idea. If someone else has recorded the data, that person should know as well. Is your doric file with 'csv' extension or 'doric' extension ?

PedrosoJAB commented 5 months ago

Hi, here it goes. They are the variables that I need for the analysis.

AINO1 X AOUT1 = 470

AIN02 X OUT2 = 405

With this in mind, I wonder what names_for_storenames I should use for these two variables. My doric file is with 'doric extension' (no csv).

Thanks

venus-sherathiya commented 5 months ago

You should follow the naming convention instructions. It is provided on the left side when you open Storenames GUI. If you are not able to follow the instructions, I can try to explain here.

In your case, you select AINO1 X AOUT1 and AIN02 X OUT2 and then click on "Select Storenames" button. It will pop a new window, where you select appropriate options. After that, click on "Show" button on the same window.

PedrosoJAB commented 4 months ago

Hi, I ran my data and then this is what it looks like. I would like help to filter it, for example, how to eliminate this period that the signal was down (-4,-5) between my transients. I don't know what parameter should I change.

Also, when I ran the visualization this error showed up. ` 2024-04-17 16:15:01,145 ←[1mThere are no behavior event TTLs present to visualize.←[0m ←[1mThere are no behavior event TTLs present to visualize.←[0m. How can I handle this,

Thanks. Figure_M5 Figure_1

venus-sherathiya commented 2 months ago

Were you able to find a fix with your data ? If not, please let me know

PedrosoJAB commented 2 months ago

Here is what I have, and what I would like to do - Filter some points that I consider outliers and during my light source is off, I would like to change my display to NaNs rather than 0.

I don't know if I can change it on Guppy or whether would be better to plot the Guppy results in Python and change it there. Thanks for your help. Figure_M5