@article {69661,
	title = {GESIAP3.0: Sensor-based Image Analysis Program for Transmission Visualization In Vivo},
	journal = {bioRxiv},
	year = {2024},
	month = {2024 Oct 31},
	abstract = {<p>Synaptic transmission mediated by various neurotransmitters influences a wide range of behaviors. However, understanding how neuromodulatory transmitters encode diverse behaviors and affect their functions remains challenging. Here, we introduce GESIAP3.0, an advanced, third-generation image analysis program based on genetically encoded sensors. This tool enables precise quantitative analysis of transmission in both awake, freely moving animals and immobilized subjects. GESIAP3.0 incorporates movement correction algorithms that effectively eliminate image displacement in behaving animals while optimizing synaptic information extraction and simplifying computations on commodity computers. Quantitative analysis of cholinergic, dopaminergic, and serotonergic transmission, corrected for tissue movement, revealed synaptic properties consistent with measurements from ex vivo wide-field and in vivo two-photon imaging under stable conditions. This validates the applicability of GESIAP3.0 for analyzing synaptic properties of neuromodulatory transmission in behaving animals.</p>
},
	doi = {10.1101/2024.10.28.620522},
	url = {https://doi.org/10.1101/2024.10.28.620522},
	author = {Zhu, Roger E. and Diao, Xintong and Liu, Xiaoyu and Ru, Qin and Wu, Zenan and Zhang, Ziyuan and Looger, Loren L. and Zhu, Jiazhu}
}
