Suite3D: Volumetric cell detection for two-photon microscopy

Area of Science:

• Neuroscience
• Biophysics
• Computational Biology

Background:

• Two-photon imaging commonly acquires 3D neuronal activity data.
• Current plane-by-plane processing limits accuracy due to duplicated cells, motion artifacts, and missed neurons.

Purpose of the Study:

• Introduce Suite3D, a novel volumetric cell detection pipeline.
• Address limitations of 2D processing for 3D two-photon microscopy data.

Main Methods:

• Suite3D corrects for 3D brain motion, including axial and lateral movements.
• Utilizes 3D correlation for improved signal-to-background ratio and neuron detectability.
• Performs 3D segmentation to detect cells across multiple imaging planes.

Main Results:

• Suite3D successfully detected cells across multiple imaging planes.
• Improved cell detectability and signal quality compared to traditional methods.
• Demonstrated >20x speed improvement over a prior volumetric pipeline.

Conclusions:

• Suite3D provides a robust solution for analyzing volumetric two-photon microscopy data.
• Enhances accuracy, efficiency, and cell detection in 3D neuronal imaging.
• Overcomes limitations of plane-by-plane analysis in neuroscience research.