MediLumine Launches Full Spectrum CRO Services

We are pleased to announce the expansion of our contract research services into a full spectrum model that unifies imaging and omics platforms within a single coordinated framework. This development strengthens our ability to support industry research programs from early discovery through preclinical validation with comprehensive and scientifically rigorous workflows.

Integrated Imaging Capabilities for Comprehensive Biological Analysis

Our full spectrum CRO model centralizes access to a wide range of imaging modalities. Confocal microscopy enables high resolution visualization of cellular and subcellular structures. Live cell imaging supports the study of dynamic biological processes under physiological conditions. High content imaging provides automated acquisition and quantitative analysis for phenotypic screening. Together these platforms deliver qualitative and quantitative readouts that address diverse experimental requirements.

Omics Platforms for Deep Molecular Profiling

In parallel, our omics capabilities broaden the analytical depth available to research teams. Mass spectrometry supports proteomic, metabolomic, lipidomic, and targeted quantitative applications. Next generation sequencing enables genome, transcriptome, and epigenetic profiling with high analytical precision. Integrated multi omics workflows allow the combination of imaging derived observations with proteomic and genomic information to generate unified datasets that strengthen biological interpretation.

Spatial Biology

Spatial Biology provide an end-to-end platform for high-resolution, multidimensional tissue analysis, integrating Xenium (10x Genomics) in situ spatial transcriptomics, custom tissue microarray (TMA) construction, and fresh or FFPE single-cell RNA sequencing. Our precision-engineered TMAs enable standardized, high-throughput IHC, in situ assays, and molecular profiling, with the addition of fresh and FFPE-optimized single-cell RNA-seq for single-cell or single-nucleus transcriptomes—even from archival specimens—to resolve fine-grained cell states, lineage structures, and rare populations.

Xenium spatial transcriptomics view of a tissue section – map of RNA molecules overlaid on top of fluorescence imaging and cell segmentation.

A Unified CRO Model Designed for Industry R&D

Industry programs benefit directly from this consolidated model. Working with a single partner simplifies the coordination of imaging, proteomics, genomics, and metabolomics activities while maintaining continuity in experimental design and data output. Integrated project management improves operational efficiency and reduces the need for external handoffs, which contributes to shorter study timelines and more rapid iteration. The ability to deliver decision ready datasets supports target validation efforts, mechanism of action studies, biomarker discovery, and broader preclinical research objectives. The model is also scalable to accommodate feasibility studies as well as complex multi arm programs.

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