Biological Tissues Exist in 3D.

Cell morphology, organ architecture, and lesion infiltration all exist as continuous 3D structures. However, two-dimensional sectioning often disrupts structural continuity, overlooking fine channels and failing to capture branching or encapsulated forms. Without 3D dimension, the shape and orientation of tissues cannot be accurately assessed.

3D imaging can preserve tissues in their original form, providing the foundation for accurate reconstruction and spatial analysis.

3D Spatial Distribution Shapes Molecular Expression.

The expression of molecular markers such as proteins and nucleic acids depends on their 3D location within tissues. Two-dimensional sectioning cannot capture signals beyond the cut surface, leading to information loss or misalignment. Without 3D context, it is also difficult to accurately restore the intensity and distribution of molecular expression.

3D imaging can provide precise spatial quantification of molecules, allowing for more accurate mapping of expression and mechanistic.

3D Data Greatly Expands Information Content.

Compared with 2D images from traditional sectioning, 3D imaging increases the information obtained from each sample by hundreds to tens of thousands of times. It not only enhances data density but also reveals more detailed connections between tissue structure and molecular expression.

With fewer samples, higher information density, and deeper structural insights, such 3D datasets can support the training of AI models and, in turn, contribute to more precise medical decision-making.