SmaRT2P

SmaRT2P optimizes smart line scanning in two-photon calcium imaging to increase fluorescence signal-to-noise ratio (SNR) and improve detection of single action potentials in large neuronal populations at subcellular spatial resolution in vivo.

Key Features:

• Smart Line Scanning Optimization: Implements trajectories that optimally sample regions of interest to enhance fluorescence SNR and improve single action potential detection during population imaging in vivo.
• Modular Processing Architecture: Provides a modular processing pipeline that enables flexible computational stages for data handling and analysis.
• Motion Artefact Detection: Incorporates strategies to detect motion artefacts affecting line-scan data.
• Neuropil Contamination Estimation: Estimates neuropil contamination to reduce its impact on extracted functional fluorescence signals.
• Matlab Implementation: Implements the processing and analysis modules in Matlab.

Scientific Applications:

• Large-Scale Population Imaging: Enhances data quality for functional mapping of large neuronal populations at subcellular spatial resolution.
• Single-Spike Detection: Improves accuracy in detecting single or few action potentials from calcium fluorescence signals.
• Neural Dynamics and Connectivity: Supports investigations of neural dynamics and network connectivity by improving signal fidelity.
• Synaptic and Subcellular Studies: Facilitates subcellular-level studies of synaptic interactions through increased SNR.
• Neurophysiology and Disease Modeling: Applicable to neurophysiology experiments and disease-model studies requiring precise activity measurements.

Methodology:

Implements optimal region-of-interest sampling trajectories for smart line scanning, motion artefact detection strategies, neuropil contamination estimation, and a modular Matlab-based processing pipeline.