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LISCO highlights advances in single-cell and spatial multi-omics technologies
Read our recent publication in Nature Reviews Genetics (March, 2023) that highlights advances in the fast-developing field of single-cell and spatial multi-omics technologies and the computational strategies needed to integrate information across these molecular layers.
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Lunaphore’s Spatial Biology Tour stopped in Leuven
This is some dummy copy. You’re not really supposed to read this dummy copy, it is just a placeholder for people who need some type to visualize what the actual copy might look like if it were real content. If you want to read, I might suggest a good book, perhaps Melville. That’s why…
Collaboration and Innovation Hub
The Collaboration and Innovation Hub of the KU Leuven Institute for Single Cell Omics (LISCO) is a dedicated platform for fostering partnerships and driving translational research in single-cell and spatial multi-omics. As a one-stop-shop for researchers in academia and industry, the Hub provides cutting-edge technologies and infrastructure, scientific, technological and clinical expertise and collaborative research, tailored services and co-development opportunities.
Transformative technologies for biomedical research
We provide a comprehensive suite of advanced technologies meticulously developed, optimized, and implemented by our world-class experts.
Single-Cell (Multi-)Omics Technologies
Investigate cellular processes at the genome, epigenome, transcriptome, proteome, and metabolome levels. Our solutions enable researchers to explore how the (epi)genome influences gene expression and delve into the proteome or lipidome with unparalleled precision.
Spatial (Multi-)Omics Technologies
Map transcripts, proteins, and lipids within their native spatial context to visualize the molecular landscape of cells and tissues. This powerful approach uncovers cellular heterogeneity, cell-cell interactions, and environmental influences at unprecedented resolution.
Microfluidics
Streamline workflows for high-throughput studies with scalable, reproducible platforms tailored to diverse research and clinical settings.
Bioinformatics
Leverage cutting-edge machine learning tools to analyze vast datasets, uncover patterns, and deliver actionable insights.
Sample preparation and QC
Sample preparation and QC needs to be done in an optimal way for single-cell and spatial (multi)omics assays to ensure reliability, high-quality and reproducibility of data.
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