MACSima™ Platform from Miltenyi Biotec at Institut Cochin

Miltenyi Biotec’s MACSima™ technology arrives at Institut Cochin, on the HISTIM histology platform led by Maryline Favier. MACSima™ is a 3D imaging platform combining hyperplex labeling and an automated image acquisition and analysis system. Up to 200 protein labelings are possible on a single tissue slide. 3D imaging offers Institut Cochin the means to explore the full potential of space biology.

© Miltenyi Biotec

The MACSima™ Platform

The revolutionary MACSima™ _Platform streamlines spatial biology research from end to end, reducing experimental workload and generating impactful data in no time. At its core is the fully automated MACSima™ _System, which utilizes fluorescence microscopy and takes high-_plex spatial protein profiling to a new level. The MACSima™ _Platform empowers researchers to make pioneering discoveries by facilitating the identification of novel cell types, understanding their interactions, and exploring their impact on the tissue microenvironment, thereby advancing biomarker identification, drug discovery, and the development of precision immunotherapy.

High-plex spatial profiling of proteins (MICS (MACSima Imaging Cyclic Staining) technology). Miltenyi Biotec has developed a large high-plex antibody portfolio for spatial biology, targeting 600+ biomarkers. The possibilities are vast, choosing individual antibodies or ready-to-use 96-well plates with antibody panels, or personalized custom panels.

Any kind of fixed sample, whether tissue or single cells, can be processed and analysed.

Processing and imaging are entirely automated – Plan your experiment and leave the execution to the MACSima System. With the MACS® iQ View Analysis Software and its intuitive design, analyzing vast spatial biology experiment data becomes accessible to users of all backgrounds, enabling quick generation of conclusive and publication-ready results.

Institut Cochin has already developed several projects using this technology, and obtained important results.

For example, Céline Mehats' group (From Gametes to Birth team) is seeking to identify molecular markers at the fetal-maternal interface that may participate in the onset of labor. Spatial phenotyping of placental tissues using 56 antibodies has made it possible to visualize interactions between cells that change when labor is onset.

Emmanuel Donnadieu's team (Cancer and immune response team) is studying the resistance of tumors to immunotherapies. By testing 79 markers on tumor sections, the team identified 2 molecules on the periphery of tumor islands, which retain anti-tumor T lymphocytes outside the tumors.

Human placenta at term