NeuroInfo

NeuroInfo provides a comprehensive solution for investigating entire brain circuits, neuronal populations, and biochemical markers, utilizing widely recognized brain atlases as anatomical references. It delivers both visual and quantitative analysis from 2D and 3D brain images, ensuring these are aligned within brain region boundaries determined by standardized reference spaces.

Compatible with an array of brain imaging techniques, NeuroInfo supports processing whole and semi-brain volumes from cleared tissue specimens, serial section series, MRI, micro-CT imagery, and individual serial section whole slide images. Advanced AI segmentation and registration techniques ensure accurate, standardized, and repeatable results.

Key Benefits

• Automatically aligns 2D and 3D images with the Allen Mouse Brain atlas or the Waxholm Rat Brain Atlas.
• Utilizes deep learning for detection of cells and biochemical markers brain-wide.
• Accommodates 2D whole-slide images from slide scanners and 3D images of intact cleared specimens.
• Generates easy-to-visualize 3D volumes from sectional series.
• Delivers standardized and repeatable data through automated and user-friendly workflows without requiring programming skills.

By automating whole-brain analysis, NeuroInfo enables rapid transition from raw images to quantitative results, providing detailed reports across numerous brain regions. Enhanced by deep learning, it removes the necessity for manual cell counting and hand-drawn anatomical boundaries.

NeuroInfo ensures precise alignment of experimental data with standardized digital brain atlases, fostering reliable comparisons across samples, time frames, and research teams. Developed in collaboration with the Allen Institute for Brain Science, it uses expertly validated atlases created by leading neuroanatomists to anchor data within a standardized anatomical context.

The software supports a vast library of atlases, including the gold standard Allen Mouse Brain atlas and the Waxholm Space atlas for rat brains, as well as a comprehensive 3D atlas for zebrafish brain studies. NeuroInfo also facilitates custom atlas integration, allowing for the use of digital atlases from various species.

Recommended hardware for optimal performance includes 64-bit Windows 11 OS, a CPU with at least 18-24 cores, NVMe SSDs, 128 GB of system memory, and a graphics card with a minimum of 8 GB memory.

NeuroInfo leverages deep learning for cell detection in neuroscience research, making it a robust tool for extensive, repeatable whole slide imaging workflows.