Christoffer Mattsson Langseth

KaroSpace provides a framework for interactive exploration of multi-sample spatial omics data, overcoming computational bottlenecks and proprietary software dependencies.

This study evaluates the Xenium In Situ spatial transcriptomics platform using mouse brain and human breast cancer datasets, comparing it to other technologies and benchmarking analysis tools.

The paper introduces an open-source method for high-throughput in-situ transcriptomics and provides a computational workflow for data analysis.

The paper creates a developmental cell atlas of the human spinal cord using single-cell and spatial transcriptomics, revealing spatiotemporal gene regulation and novel insights into ependymoma cancer stem cells.

This study uses in situ sequencing to map oligodendrocyte lineage progression across brain and spinal cord regions in juvenile and adult mice, revealing spatial and temporal heterogeneity.

This study identifies an early wave of oligodendrogenesis in the human forebrain at PCW 8 using single-cell RNA-Seq and ATAC-Seq, supported by spatial gene expression analysis.

This study evaluates six algorithms for cell type matching in spatial transcriptomics data and presents consensus strategies for improved analysis.

The paper spatially maps human cortical cell types using in situ sequencing and single-nucleus RNA-sequencing to create a first spatial atlas of human cortical cells.

The paper creates a single-cell transcriptome atlas of mouse brain development, identifying over 1000 cell states and linking tumor cells to developmental states.

This paper introduces HybISS, a spatial transcriptomic method that improves detection flexibility, multiplexing, and signal-to-noise while maintaining throughput efficiency in human and mouse brain tissue.