Protein analysis through proteomics is essential for a comprehensive understanding of biological function, complementing genomic and transcriptomic data. It enables the functional validation of the expression and secretion of key biomarkers, ensuring that the molecular changes observed at the gene and RNA levels are reflected in actual protein activity.
GENXMAP & parnters offers a range of advanced proteomic techniques, including:
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Immunohistochemistry/fluorescence (IHC) / Immunocychemistry/fluoresence (ICC)
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Microscopy imaging analyses (Confocal Microscopy and High Content Screening (HCS)
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Flow Cytometry
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Enzyme-Linked Immunosorbent Assay (ELISA)
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Confocal microscopy
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Description: This is an advanced form of light microscopy that provides high-resolution, three-dimensional images of stained tissues or cells. Confocal microscopy uses laser scanning to capture sharp images of thin optical sections. This allow to observe specific proteins within the intricate cellular and tissue structures in great detail.
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High Content Screening (HCS)
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Description: This is an automated screening technique that combines cellular imaging and computational analysis to evaluate multiple biological parameters on a large scale. By analyzing factors such as cell morphology, protein expression, and cellular interactions, HCS enables researchers to identify potential drug candidates, assess the effects of compounds on cellular health, and investigate complex biological pathways.
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​​​​​​​​​Analyses (Imaris, ImageJ, QuPath)
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At GENXMAP, we offer cutting-edge image analysis services using the following advanced software tools:
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Imaris: This software is used for 3D and 4D visualization, analysis, and interpretation of large sets of microscopy data. It is ideal for complex biological imaging, allowing detailed reconstruction of cellular and subcellular structures, and providing insights into cell morphology, movement, and interactions.
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ImageJ: An open-source image processing program widely used in biological research. ImageJ excels at 2D and 3D image analysis, offering a range of tools for image enhancement, quantification, and measurement of specific features in microscopic images.
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QuPath: Specially designed for digital pathology, QuPath is used to analyze whole slide images. It provides powerful tools for detecting and quantifying specific regions of interest in tissue samples, enabling advanced biomarker analysis and spatial transcriptomics.
Each of these tools allows us to provide tailored and in-depth image analyses for a wide range of research applications, ensuring precise data extraction and high-quality insights from microscopy images.
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