Computational Analysis of Neuronal Cell Types
PatchView Implementation
PatchView integrates multiple open-source tools and wraps them using an intuitive graphic user interface (GUI). Thus, users can perform most analyses quickly on data collected in a typical patch-clamp experiment without installing Python or writing any Python scripts.
PatchView is useful when it comes to:
- Importing both Heka data and Axon Instruments data.
- Visualizing single and multiple traces with zoom, pan operations.
- Automatically sorting experiments data according to predefined labels.
- Performing analysis on intrinsic membrane properties, action potential detection, firing pattern analysis.
- Synaptic connection analysis.
- Visualizing and quantification of neuron’s morphological reconstruction from Neurolucida
- Exporting and importing data in NWB format
Neuron 3D Model
Reconstructed neurons are registered into a 3D model. The different colors correspond to different cell types based on an integrated analysis of their transcriptome, morphology, and in-vitro slice physiology.
Monkey Prefrontal Cortex (PFC) Model
3D water-tight mesh reconstruction of a pyramidal neuron from monkey PFC based on staining data. These types of graphics are very useful for detailed biophysical modeling.