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A system of barcoding isotopically encoded particles in combination with elemental analyses and imaging that includes a particulate matrix, at least one isotope label contained in the particulate matrix, where the isotope label operates as i) an elemental identifier, ii) a mass identifier, or iii) an elemental identifier and a mass identifier, where the matrix operates as multi-digit particulate barcodes, at least i) a mass-based imager, ii) an elemental analyzer, iii) or the mass-based imager and the elemental analyzer, and a debarcoding algorithm and an automated machine learning analysis algorithm programmed on a computer to computational extract the multi-digit particulate barcodes for quantification of spatial nanotag distributions in ion beam imaging areas.
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Disclosed herein are methods and systems for analyzing visual data from multiple rounds of hybridization interactions where the same molecular target is detected by probes with different detectable labels. In particular, disclosed herein are methods and systems for analyzing sequential hybridization images for molecular profiling, where the images are obtained using multiplex fluorescence in situ hybridization (FISH).
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The present invention, among other things, provides technologies for detecting and/or quantifying nucleic acids in cells, tissues, organs or organisms. In some embodiments, through sequential barcoding, the present invention provides methods for high-throughput profiling of a large number of targets, such as transcripts and/or DNA loci.