http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020061327-A1

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filingDate 2019-09-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2020-03-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2020061327-A1
titleOfInvention Characterization platform for scalable, spatially-resolved multispectral analysis of tissue
abstract A device may obtain field images of a tissue sample, apply, to the field images, spatial distortion and illumination-based corrections (including corrections for photobleaching of reagents) to derive processed field images, identify, in each processed field image, a primary area including data useful for cell or subcellular component characterization, identify, in the processed field images, areas that overlap with one another, and derive information regarding a spatial mapping of cell(s) and/or sub-cellular components of the tissue sample. Deriving the information may include performing segmentation based on the data included in the primary area of each processed field image, and obtaining flux measurements based on other data included in the overlapping areas. The device may cause the information to be loaded in a data structure to enable statistical analysis of the spatial mapping for identifying factors defining normal tissue structure, associated inflammatory or neoplastic diseases and prognoses thereof, and associated therapeutics.
priorityDate 2018-09-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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