Conquer the Tumor MicroenvironmentOne Image. All The Answers.
Multiplexed Ion Beam Imaging (MIBI™) Technology
MIBI™ technology enables pathologists and scientists to gain new insights in understanding the tissue microenvironment with unmatched multiplexed image quality.
High Multiplex Capability
Simultaneously stain and detect 40+ targets and observe cells with the whole picture of an intact tissue tumor microenvironment.
Detect and analyze all high, medium and low abundance targets in a single scan.
True Subcellular Resolution
Visualize and quantify cellular structures as small as 250nm for comprehensive cell-cell interaction studies.
Developed by Pathologists for Pathologists
MIBI™ technology provides a streamlined workflow for easy integration into a clinical pathology laboratory.
FFPE Tissue Staining
Follow a classic IHC protocol using IONpath pathologist-validated or custom antibodies with any FFPE samples.
Multiplexed Tissue Imaging
One instrument to image and analyze tissue samples at low or high resolution. Precious tissue is conserved and may be scanned repeatedly.
Image QC and Analysis
MIBItracker Software provides easy image quality control and export of images into universal file formats for downstream analysis.
Learn How MIBI™ Technology Advances Your Research
IONpath’s collaborative partnership services include multiplex assay panel development and in-depth analysis by our pathology and bioinformatics teams.
MIBI Approach for TME
Learn how Keren et al (Cell Publication) used MIBI™ technology to identify a patient sub-population responding to treatment in a Triple Negative Breast Cancer cohort.
MIBI Data Analysis
High-resolution images enable quantitative methods such as cell segmentation and/or spatial analysis assessments to evaluate and characterize cells within the tumor microenvironment.
See Published MIBI™ Data using MIBItracker
MIBItracker Software’s unique, cloud-based repository lets you easily review slide and image data, and it’s easily accessible through a web browser. You can customize the display for each image or image set including selecting channels for overlay, setting channel relative intensity, pixel smoothing, and channel pseudo-color.
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