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Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

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SANTO: a coarse-to-fine alignment and stitching method for spatial omics.

Haoyang Li^1,2, Yingxin Lin³, Wenjia He^1,2

¹Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

Nature Communications

|July 18, 2024

Summary

This summary is machine-generated.

We developed SANTO, a fast and accurate method for aligning and stitching spatial omics slices. This technique enables comprehensive 3D molecular profiling and cross-platform data integration for biological discovery.

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Area of Science:

Spatial omics
Bioinformatics
Computational biology

Background:

Spatial omics technologies are rapidly advancing, requiring robust methods for slice alignment and stitching.
Current methods struggle with large-scale, image-based spatial omics data due to time and accuracy limitations.

Purpose of the Study:

To develop an efficient and accurate method for spatial omics slice alignment and stitching.
To enable holistic 3D molecular profiling and integration of diverse spatial omics datasets.

Main Methods:

Proposed SANTO, a coarse-to-fine alignment and stitching strategy.
SANTO rapidly estimates slice positions and overlap, then refines using spatial and omics patterns.

Main Results:

SANTO demonstrates superior performance compared to existing methods in comprehensive experiments.
Successfully stitched cross-platform breast cancer slices for tumor microenvironment analysis.
Applied to 3D-to-3D spatiotemporal alignment of mouse embryo development.
Enabled cross-modality alignment of spatial transcriptomic and epigenomic data.

Conclusions:

SANTO offers a practical solution for large-scale spatial omics data processing.
Facilitates synergistic exploration of biological systems through integrated multi-modal and multi-dimensional spatial omics data.