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It was recommended in the paper to set the LED power between 10–25 mW for both LEDs. My question is:
should the LEDs be calibrated in continuous mode, or in camera-synced pulse on/off mode?
We are still adapting the pipeline to our data, and currently we are having the following reconstructed output of the averaged SVT signal of the reward epoch:
The reward is delivered around frame no. ~3-4 , and it's bit unexpected to see the brain gets inhibited as such. We were wondering whether one of the LEDs power is less than what's needed. We currently calibrate our LEDs in continuous mode.
Have you experienced such case before?
The text was updated successfully, but these errors were encountered:
that is correct. We are successful with 10-25mW measured in continuous mode (e.g. with a S425C sensor that is large enough to capture all light at the focal plane). This will be an over-estimate of the actual value that reaches the brain but it simplifies the calibration since it does not depend on the imaging rate.
When imaging we first saturate the camera sensor, and then reduce the power so that there are no pixels in cortex with values over 75% of the dynamic range of the sensor (we do this separately for the 470 and 405nm channels).
I don't often see negative regression coefficients, could you run the pipeline with wfield preprocess <foldername> please? I wonder if the baseline could be causing this of if it is something else. Please make sure you do not have a 'frames_average' file in foldername.
Hello,
It was recommended in the paper to set the LED power between
10–25 mW
for both LEDs. My question is:We are still adapting the pipeline to our data, and currently we are having the following reconstructed output of the averaged SVT signal of the reward epoch:
The reward is delivered around frame no. ~3-4 , and it's bit unexpected to see the brain gets inhibited as such. We were wondering whether one of the LEDs power is less than what's needed. We currently calibrate our LEDs in continuous mode.
Have you experienced such case before?
The text was updated successfully, but these errors were encountered: