MACSima™ Imaging Platform – The Next Level of Context in Spatial Biology
MACSima™ Imaging Platform – the next level of context in spatial biology
Content without context is just noise. That’s where the MACSima Imaging Platform with its high protein plexity makes the difference in spatial biology: It helps you to identify the missing pieces of the puzzle and ultimately put them together. On a single tissue sample literally hundreds of markers can be imaged, and the corresponding cells analyzed to clarify their spatial context. This opens the door for researchers to answer burning questions: What is the relationship between cells within a tissue? Can we go beyond the identification of cell types towards the characterization of the cells’ states? And how can one cell affect other cells in its microenvironment?
Saving time and efforts with ready-to-use reagents and powerful analysis software
A broad portfolio of antibodies pre-validated for this technology allows researchers to start right away. As no laborious antibody conjugation and validation processes are required, first data can be analyzed within under a month. In addition, recombinantly engineered antibodies provide reproducible results, time after time, removing the requirement to re-evaluate each single lot. Ready-to-use antibody plates save users even more time and make for a plug-and-play experience.
And it’s not only pre-experimental work that is made easy with the MACSima Imaging Platform; the entire experiment workflow is a walk in the park because the instrument performs the cycles of imaging, staining, and erasing of the label fully automatically. Very importantly, the integrated, highly intuitive and powerful MACS iQ View Analysis Software makes drawing biologically relevant conclusions a breeze by providing a multitude of analysis features tailor-made for spatial biology research. Leaving you with ready-to-publish images and charts without having to switch between different software solutions.
One platform – many applications
The MACSima Imaging Platform provides the foundation for many research applications, such as drug target discovery, biomarker research, detailed analysis of the tumor microenvironment, deep phenotyping, and the development of approaches for personalized medicine. Since the MACSima Imaging Platform allows processing and analysis of FFPE samples, retrospective studies are easily feasible, helping to develop patient stratification strategies that ultimately could lead to more effective therapies.
Check out some of the papers that scientists have published recently with the help of the MACSima Imaging Platform.
• Guilliams, M. et al. (2022) Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches. Cell 185: 379–396.
• Kinkhabwala, A. et al. (2022) MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors. Sci. Rep. 12: 1911
• Pfeifer, R. et al. (2022) A multimodal imaging workflow for monitoring CAR T cell therapy against solid tumor from whole-body to single-cell level. Theranostics 12: 4834–4850.
• Hinterleitner, C. et al. (2021) Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer. Nat. Commun. 12: 7005.
• Kantari-Mimoun, C. et al. (2021) CAR T-cell Entry into Tumor Islets Is a Two-Step Process Dependent on IFNγ and ICAM-1. Cancer Immunol. Res.: 1425–1438.
• Lewis, S. M. et al. (2021) Spatial omics and multiplexed imaging to explore cancer biology. Nat. Methods 18: 997–1012.
• Schäfer, D. et al. (2021) Identification of CD318, TSPAN8 and CD66c as target candidates for CAR T cell based immunotherapy of pancreatic adenocarcinoma. Nat. Commun. 12: 1453.
