Molecular Fingerprints Converge into a Health Map
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Omics Detection Technologies
Multi-D vision Metabolomics
Spatial metabolomics overcomes the limitations of traditional methods by mapping the distribution of metabolites within tissues.
The Multi-D Vision (Metabolomics) platform from Well-healthcare Technologies uses micro/nano material LDI-MS and tissue imaging to enable matrix-free, highly sensitive, and stable 3D metabolic profiling. It reveals where metabolic changes occur, deepening biological insight.
Applications include biomarker discovery, pathway analysis, tumor margin detection, cancer classification, and spatial multi-omics.
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(1) Matrix-free (2) High sensitivity (3) Stable imaging
Spatial Lipidomics Reveals Molecular Information in the Tumor Microenvironment of Non-Small Cell Lung Cancer (NSCLC)
Journal: ACS Nano, Published: April 2022, Impact Factor: 17.1, DOI: 10.1021/acsnano.2c02616
MALDI-MS enables spatial metabolomics of biological samples with high throughput and label-free detection, making it a promising tool in molecular pathology.
Well-healthcare Technologies has developed a silicon-based nano-MS chip for tissue imprint imaging, which effectively preserves in situ lipid information on tissue surfaces, enabling mass spectrometry imaging and cancer diagnosis.
