Registration of Spatial Transcriptomics Images to an Atlas using Implicit Neural Representations

Meghane Decroocq, Kohei Onishi, Tomomi Shimogori, Henrik Skibbe

Keywords: Implicit Neural Representations, Registration, Spatial Transcriptomics

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Abstract: Spatial transcriptomics enables the visualization of gene expression in ex vivo samples, offering unique insights into the brain structure and function. However, downstream analysis requires to match gene expression patterns to specific brain regions by aligning highly deformed 2d brain slices with an atlas. In this work, we propose a registration method using Implicit Neural Representations (INR) specifically designed to address the challenges presented by spatial transcriptomics data.

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Submission Number: 51