Excited to share some of my PhD work out today in @NeuroCellPress! We use our novel lifetime photometry system with the new dLight3.8 sensor to study hunger induced changes in exploration and risk assessment derive from AgRP modulation of dopamine signaling in tail of striatum.

Our latest led by @TVKamath with important contributions by collaborators including Nao Uchida, Mitsuko Watabe-Uchida and @LinTianPhD Hunger modulates exploration through suppression of dopamine signaling in the tail of the striatum: Neuron

6/ Altogether, FLIPR allows for easy and robust absolute measurement of fast and slow neurotransmitter release and together with new lifetime sensors such as dLight3.8 will give neuroscientist new capabilities to measure neuronal signals for fundamental and disease research

5/ Finally, we developed a two-color FLIPR system, which allowed us to simultaneously record absolute dopamine and calcium in D1 receptor neurons in freely moving mice.

4/ We compared dopamine responses in the nucleus accumbens and tail of striatum to appetitive and aversive stimuli and found region specific dynamic tonic and phasic responses. We also found increased tonic dopamine in the TS compared to the NAC outside of a behavior task

3/ To highlight the utility of FLIPR we validated the dopamine sensor dLight3.8 in vivo, allowing for the measurement of absolute fast (phasic) and slow (tonic) dopamine in freely moving mice.

2/ In freely moving mice, we show that lifetime measurement using FLIPR is more stable than intensity measurements, possibly due to the insensitivity of lifetime to hemodynamic and motion artifacts. Moreover, we show that FLIPR can be used to detect lifetime across days.

1/ FLIPR allows for detection of fluorescence lifetime through the use of an analog frequency domain lifetime processor, that is easy and affordable to build. High photon rate stability allows for the system to be used at high speed and with picosecond resolution in vivo/vitro

Our fluorescence lifetime photometry at high temporal resolution (FLIPR) paper is now online at Neuron. FLIPR allows for fast (10Hz-1 kHz) and slow (min-hrs) measurement of absolute neuronal signals in freely moving mice. We highlight the utility by measuring tonic and phasic DA.

5/ In this preprint, we show that FLIPR is a powerful technology that will allow the community access to absolute fast and slow signal measurement in vivo. Thank you to my mentors @blsabatini Roger Adan, coauthors and Sabatini lab members

4/ We discovered differences in tonic dopamine levels at baseline and differential phasic responses to appetitive and aversive stimuli between brain regions. We also discovered differential and dynamic changes in tonic dopamine in response to aversive stimuli.

3/ To highlight the capabilities of FLIPR, and in collaboration with @LinTianPhD , we exposed freely moving animals to appetitive and aversive stimuli, while measuring phasic and tonic dopamine in two brain regions (the tail of striatum and nucleus accumbens).

2/ FLIPR allows for accurate, high speed (10-1000 Hz) and high precision (<5ps error) fluorescent lifetime measurement and is stable across time and photon rates. FLIPR is 100-1000x faster, more precise and is more stable across photon rates, compared to other FLIP systems.

1/ We created fluorescence lifetime photometry at high temporal resolution (FLIPR) by developing a frequency domain fluorescent analog processor and combining it with a simplified fluorescence lifetime photometry optical system for lifetime measurement through a fiber implant

If you are interested how to measure absolute neurotransmitter release or neuronal signals in vivo over long time-scales and at high speed, please check out our new pre-print, where we use FLIPR to measure phasic and tonic dopamine in freely moving mice.

This is something we are very excited about. @lodder_bart led this development project collaborating with @LinTianPhD lab. The technology makes lifetime photometry easy and, with the new dopamine sensor, allows measurements of phasic and tonic DA in vivo https://t.co/lbG8luTgeV

Hello calcium imaging twitter, I have a thread for you. We made a self-supervised network that is great at ROI classification and tracking over sessions. If you do calcium imaging, it'll probably save you time. Help me improve it. Send your ROI masks to: roi.classifier@gmail.com

ViDA is excited to host @blsabatini for a keynote lecture on "Dopaminergic control of cellular state and action selection". Join the conversation! https://t.co/qiwKndM8rC

I am retweeting now because it links to the explanation of the findings in the just-published https://t.co/sh4sU1kTyj Thirteen months later, with lots of rewrites and a few new experiments, the conclusions are the same so please read below.

https://t.co/uiAuFtM1Pz Extremely comprehensive work, with lots of parallel with our recent work. Just highlights how much fine topography there is in these small nuclei, and how we should try to target the relevant functional zone when doing behavior.