Using advanced AI and deep-learning-based digital image analysis (DIA) we address complex scientific questions by quantifying tissue biomarkers in whole tissue sections or specific regions of interest. Our DIA-trained scientists work in tandem with board-certified pathologists ensuring robustness through all stages of your project from design to data analysis. We offer a catalogue of validated algorithms or custom AI algorithm development services to deliver high-throughput analysis and reproducible, high-quality results.
Digital image analysis using WSI analysis algorithms are commonly used in histopathology research to achieve robust results, evaluate research questions, make new discoveries, and inform decision-making.
Automated digital image analysis (DIA) is a powerful approach to quantitate tissue biomarkers in whole slide images (WSIs). Our team develops and optimizes custom algorithms in collaboration with pathologists to provide automated quantization of biomarker expression in whole tissue section area, selected regions of interest or tissue compartments stained by immunohistochemistry or immunofluorescence in WSIs. With Alimentiv’s standardized workflow, we can achieve high-throughput analysis with consistent, high-quality results to answer meaningful research questions.
Digital image analysis using WSI analysis algorithms is commonly used in histopathology research to achieve robust results, evaluate research questions, make new discoveries, and inform decision-making.
DIA algorithms can be developed for image analysis of:
Alimentiv works in partnership with AcelaBio, a state-of-the-art histopathology and precision medicine laboratory to provide a seamless end-to-end solution that includes immunostaining and image transfer right through to quantitative digital image analysis and results. To best serve our customers, our DIA process is flexible and can accommodate the analysis of images stained at other specialty labs. We will work with you to determine the optimal process that suits your needs.
Computational algorithms have been optimized to quantitate the following markers. Our team is always working to expand this and specializes in custom method development for your marker of interest.
|IHC markers||Cell Subset / Function|
|CD163||Monocytes and Macrophages|
|CD68*||Monocyte and Macrophages|
|CD3||Lymphobyte T Cells|
|CD4||CD4+ T Regulatory and Helper T Cells|
|CD8||Memory and Cytotoxic T Cells|
|FOXP3||CD4+ T Regulatory Cells|
|CD103*||Intra-epithelial T Cells|
|ZO-1||Epithelial cell barrier integrity and repair|
|JAMA||Epithelial cell barrier integrity and repair|
|LAG3*||Immune Check Point Inhibitor|
|PD-1*||Immune Check Point Inhibitor|
|PD-L1*||Immune Check Point Inhibitor|
Digital image analysis of immunofluorescence multiplex panels of 4 tissue biomarkers in tissue array slides of colonic biopsy tissue section from patients with Ulcerative Colitis.
Digital Image Analysis of CD3 positive lymphocytes in colonic biopsy sections from patients with Crohn’s disease.