Neurolucida 360

Neurolucida 360 is a sophisticated software solution designed for neuroscientists to efficiently and accurately reconstruct neurons in 3D. It operates seamlessly with diverse labeling and microscopy methods, enabling users to trace neurons from any species.

The software leverages advanced 3D image detection algorithms enhanced by machine learning, facilitating the reconstruction of intricate neuronal structures from large networks to detailed sub-cellular components like dendritic spines, varicosities, and synapses. Additionally, it provides analytical capabilities for glial cells, such as oligodendrocytes, microglia, and astrocytes.

Key Benefits

• Automated neuron tracing for quantifiable reconstructions.
• Classification of axons, dendrites, somas, spines, varicosities, and synapses.
• Comprehensive editing tools for precise reconstructions and ground truth data.
• Advanced AI and algorithms for accurate detection and segmentation.
• Dynamic 3D visualization and exploration.
• Production of reliable, open, and FAIR data with methods widely trusted in neuroscience.

Neurolucida 360 supports an array of histological and microscopy techniques, including immunofluorescence, Golgi-Cox, immunohistochemistry, confocal, and two-photon microscopy. The software is optimized for large dataset management, employing intelligent image handling technology compatible with most research microscope file formats.

Engineered for efficient performance, Neurolucida 360 caters to a variety of system configurations, from affordable setups for smaller datasets to high-end workstations for extensive 3D data. Its innovation in 3D visualization and the ability to handle extensive datasets make it an indispensable asset for neuroscientific research.

Built for flexibility, it allows users to manually edit reconstructions, offering fine-tuning capabilities such as branching segment management and dendritic spine adjustments. Neurolucida 360 supports standardized data formats ensuring that results are findable, accessible, interoperable, and reusable.