Bulletin of the American Physical Society
Mid-Atlantic Section 2022 Meeting
Volume 67, Number 20
Friday–Sunday, December 2–4, 2022; University Park, PA, Pennsylvania State University
Session F01: Poster Session
4:30 PM–4:30 PM,
Saturday, December 3, 2022
Pennsylvania State University
Room: Huck Life Sciences Bld 301, 3rd Flr Bridge
Abstract: F01.00038 : NeuroART: Real-time analysis of neuronal population activity for informed closed-loop experiments*
Presenter:
Douglas Scalioni Domingues
(University of Maryland)
Authors:
Douglas Scalioni Domingues
(University of Maryland)
Dulara De Zoysa
(University of Maryland)
Wolfgang Losert
(University of Maryland College Park)
Utilizing NeuroART, experimenters gain knowledge of the data quality in real time and can identify neurons of interest for targeted photostimulation based on quantitative analysis of the ΔF/F traces of each neuron. Multiple analysis techniques can be employed, for example: pairwise correlation-based analysis to construct functional networks and identify the most correlated neurons in the field of view.
NeuroART includes automatic neuronal cell identification routines (e.g., CaImAn, Cite-on) to facilitate real time neuronal activity analysis. The software is linked to a fast switching Spatial Light Modulator (Boulder Nonlinear Systems) that enables holographic optogenetic stimulation at millisecond timescales. The downstream analysis within the real-time loop runs rapidly enough to be computed on a laptop (Intel(R) Core i7-8565U CPU @ 1.80 GHz 1.99 GHz, 12 GB RAM, 64-bit Windows 10). Our software has been tested on a range of different imaging systems, imaging software and formats and operating systems. With these capabilities, NeuroART enables model-guided experiments for a wide range of microscope platforms.
*NIH BRAIN initiative grant, 1U19NS107464.
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