By Queen Mary University of London
Bioinformatic Support Dedicated staff to handle all your bioinformatic project needs Bioinformatic Support Bioinformatics is now essential to modern biological research. By combining biology, computer science, and statistics, we provide end-to-end bioinformatics solutions for projects of any size. We offer training, ongoing support, and bioinformatics-as-a-service, tailored to your project’s needs. Multiplex / Spatial Analysis Overview Our multiplex immunofluorescence platforms ( Cell DIVE and PhenoCycler ) generate exceptionally rich datasets—often hundreds of gigabytes from a single slide. Using HALO digital pathology software with the HiPlex FL module, we extract quantitative biomarker intensity and spatial positioning data for every individual cell within imaged tissues. We support multiplex image analysis across the full spectrum, from straightforward quantitative measurements to advanced, high-resolution spatial analyses. Example Analysis Types - Area-based biomarker quantification Measurement of tissue area positive for specific markers (e.g. ECM components) - Cell type enumeration Quantification of cell populations within defined tissue regions or layers - Unbiased cell phenotyping Data-driven classification of cellular phenotypes - Cell neighbourhood analysis Characterisation of local cellular microenvironments - Spatial analysis Distance metrics, attraction/avoidance patterns, and immune infiltration analysis High Content Analysis Overview Our high-content imaging platforms ( INCA2200 and INCA6000 ) combined with dedicated analysis software ( INCarta and Developer ) enable fully automated analysis of slides and multi-well plates. We have extensive experience working with high-content imaging data to deliver high-quality, publication-ready analyses —ranging from straightforward quantitative readouts to advanced machine learning and AI-driven models. Example Analysis Types - Cell-level quantification Simple cell counts and population statistics - Marker-positive analysis Thresholding and percentage calculations - Organelle-level analysis Subcellular features such as DNA damage foci - Large-scale morphological profiling Including senescence-associated morphological profiles (SAMPs) - Advanced visualisation and dimensionality reduction Heatmaps, frequency distributions, and embeddings (UMAP, t-SNE) Screening Data Overview A single high-throughput screen can generate thousands of images across multi-well plates, often spread across multiple batches, cell types, and treatment groups.
