Deep Visual Proteomics: Integrating AI and Mass Spectrometry for Cellular Phenotyping
Practical Solutions and Value
Deep Visual Proteomics (DVP) combines advanced microscopy, AI, and ultra-sensitive mass spectrometry to revolutionize the analysis of cellular phenotypes. It enables comprehensive proteomic analysis within the native spatial context of cells, enhancing accuracy and efficiency in cellular phenotyping. DVP offers practical solutions for studying single-cell heterogeneity and characterizing proteomic differences in disease tissues, providing a powerful tool for advancing research and clinical diagnostics in cell and disease biology.
Image Processing and Single Cell Isolation Workflow in Deep Visual Proteomics
Practical Solutions and Value
The workflow integrates cutting-edge microscopy technologies with advanced AI-driven image analysis and automated laser microdissection, enabling rapid and precise single-cell isolation crucial for in-depth proteomic analysis of cellular and tissue samples in DVP applications.
Characterizing Single Cell Heterogeneity with Deep Visual Proteomics
Practical Solutions and Value
DVP enables the characterization of functional differences among phenotypically distinct cells at the subcellular level, offering insights into cell cycle regulation and potential cancer prognostic markers.
DVP Uncovers Cancer Tissue Heterogeneity
Practical Solutions and Value
DVP offers high-resolution, unbiased proteomic profiling of distinct cell classes within their spatial environments, providing insights into disease progression and prognosis, guiding clinical decision-making.
Outlook for DVP
Practical Solutions and Value
The DVP pipeline integrates high-resolution microscopy with advanced image recognition, automated laser microdissection, and ultra-sensitive MS-based proteomics, offering significant applications in basic biology and biomedicine, particularly in oncology. It enhances digital pathology by providing a comprehensive proteomic context.
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