Spatial Neuroscience

Decoding Biology In Situ, Connecting Proteins, Nucleic Acids, and Spatial Function

Neuroscience is increasingly moving beyond single-cell molecular characterization toward understanding where biological events occur and how cellular interactions shape brain function and disease progression.

Spatial neuroscience integrates multiplex imaging, molecular profiling, and cellular mapping technologies to reveal the complex organization of neural tissues, enabling researchers to investigate:

• Cellular composition and spatial distribution within brain regions
• Neural circuits and functional microenvironments
• Cell-cell communication networks
• Disease-associated cellular remodeling
• Regional vulnerability in neurodegenerative disorders

By combining validated cell-type markers with disease-related biomarkers, spatial profiling provides a powerful approach to connect molecular changes with anatomical context and biological function.

From Molecular Detection to Biological Insight

Super Omics™ integrates spatial biology, antibody-based detection, protein analysis, cellular and organoid models, nucleic acid delivery, and high-throughput technologies to support multidimensional investigation of biological systems. By connecting molecular detection, spatial context, cellular phenotypes, and functional analysis, Super Omics™ enables researchers to move from where molecules are → which cells are affected → how cellular interactions change → why disease phenotypes emerge.

Molecular Events → Cellular Phenotypes → Spatial Context → Functional Insight → Disease Mechanisms → Translational Discovery

Integrated Spatial Neuroscience Workflow

From Tissue Architecture to Mechanistic Discovery

1.1 Brain Tissue Architecture & Spatial Context

From Tissue Integrity to Spatially Resolved Biology

Key Biological Workflow

Brain Tissue Preservation——Tissue Architecture & Cellular Integrity——Regional and Cellular Mapping——Spatial Molecular Profiling
 

Research Focus

• Brain region-specific molecular characterization
• Preservation of tissue architecture and cellular morphology
• Cell-type identification and spatial distribution
• Regional differences in neuronal and glial composition
• Cellular neighborhood and tissue microenvironment analysis
• Spatially resolved investigation of disease-associated remodeling

Representative Markers

Neural Cell Atlas (Human Glioma FFPE)

1.2 Multiplex Antibody Panel Design

From Cell Identity to Disease-Associated Spatial Phenotypes

Key Biological Processes

Research Focus

• Neuronal identity and subtype composition
• Glial identity and activation states
• Synaptic architecture and organization
• Neurovascular and tissue microenvironment
• Disease-associated proteinopathies
• Spatial relationships between cells and pathological features

Representative Multiplex Panels

Neuronal & Synaptic Architecture （Human Glioma FFPE）

Rigorously Validated Antibody Panels

1.3 Cellular Identification & Phenotyping

From Multiplex Imaging to Spatially Resolved Cellular Phenotypes

Key Analytical Workflow

Multiplex Image Acquisition——Image Processing & Quality Control——Cell&Nuclei Segmentation——Cell-Type Identification——Phenotypic Classification——Spatial Quantification & Cellular Mapping

Research Focus

• Neural Cell Identity
• Cellular State & Phenotype
• Cellular Function & Vulnerability
• Spatial Organization
• Disease-Associated Remodeling

Glial Cell Landscape (Human Glioma FFPE)

1.4 Cell-Cell Interaction & Mechanistic Discovery

From Spatial Relationships to Disease Mechanisms

Key Analytical Workflow

Spatial Cell Mapping——Cellular Neighborhood Identification——Cell-Cell Proximity Analysis——Phenotypic Association——Disease Microenvironment Profiling——Mechanistic Hypothesis Generation

Research Focus

• Neuron-Microglia Crosstalk
• Neuron-Astrocyte Crosstalk
• Neuron-Oligodendrocyte Crosstalk
• Disease Microenvironment

 Representative Spatial Neuroscience Research Panels

Myelin & Axonal Integrity （Human Glioma FFPE）