Meitianli Fully Automated Spatial Atlas Imaging Analysis System: Meitianli's MICS technology, based on fluorescence microscopy, can simultaneously analyze hundreds of biomarkers in a single sample. Through cyclic staining with different fluorescent labeled antibodies, multiple parameters of microscopic imaging data can be obtained without damaging the sample. The resulting spatial atlas of hundreds of biomarkers can help scientists gain deep insights into the physiological or pathological characteristics of the sample.
MiltenyiMACSimaFully automatic spatial map spectral imaging analysis system
The normal function of living organisms involves the interaction of thousands of proteins, and the biological systems and cellular activities themselves are very complex. Therefore, it is necessary to detect a large number of parameters to deeply analyze biological systems in order to understand the mysteries of biology. However, the methods currently available for detecting complex biological systems are very limited. The newly developed MeitianmeiMICS (MACSima Imaging Cyclic Staining)Cyclic stainingInnovatively using fluorescence microscopy technology can perform microscopic imaging analysis on a large number of proteins or other antigens in a single sample, which can effectively overcome these limitations. This technology adds another spatial dimension to single-cell analysis, allowing for high complexity imaging at single-cell resolution through a rich combination of biomarkers. It displays the complete cell landscape in a microanatomy environment, deeply analyzes cell phenotypes and how cells interact in tissues, and reveals disease progression and response to treatment.

Beautiful sky, enchantingMICSThe technology is based on fluorescence microscopy, which can simultaneously analyze hundreds of biomarkers in a single sample. Through the cyclic staining of different fluorescently labeled antibodies, multiple parameters of microscopic imaging data can be obtained without damaging the sample, and the final generatedA spatial map of hundreds of landmarksCan help scientists gain deep insights into the physiological or pathological characteristics of samples.
The problems that can be solved by spatial omics research are:
What cell types are present in organizations——Deep cell phenotype analysis and cell counting
How are these cells distributed in tissues——Cell community: the organizational structure of adjacent cells
How these cells interact and communicate with each other——Cell interactions, ligands-Receptor interaction
MACSimaExamples of applications in tumor research:
Exploring the mechanism of tumor treatment
TMEDeep phenotype analysis to identify new drug targets or cell types
Different functional characteristics and interaction mechanisms of cell types
Gain a deeper understanding of the regulatory mechanisms of drug targets
Study the mechanism of drug resistance through spatial mapping
Identifying biomarkers or cellular patterns to predict drug responses
MACSimaFeatures and advantages:
Multi cycle immunofluorescence imaging technology(MICS)
Same sample, hundreds of markers, single-cell level
No need for complex experimental design and antibody preparation/extensive2000+Ready to use antibodies/Open antibody platform
Fully automated, saving manpower
Powerful analysis software
Meitianmei Fully Automatic Space Atlas Spectral Imaging Analysis System
Meitianmei Fully Automatic Space Atlas Spectral Imaging Analysis System