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OwnerManuel Amthor, Daniel Haase +1inventors
InventorsManuel Amthor, Daniel Haase, Ralf Wolleschensky
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A method for providing source data for training and validating a processing model for processing analyte image sequences. An analyte image sequence is generated by labeling analytes with markers in a plurality of coloring rounds and detecting the markers with a camera. The markers are selected, in particular based on a codebook, such that signal sequences of analytes in an image region over the analyte image sequence comprise colored signals and uncolored signals, in particular an order of the colored and uncolored signals is based on the codebook. The camera captures an image of the analyte image sequence in each of the coloring rounds. The method comprises capturing a spot analyte image sequence of a sample, and comprises providing an evaluation of image regions based on image signals of the image regions. Further, the method comprises identifying spot image regions from the evaluation of the image regions.
A method for providing source data for training or validating a processing model for processing analyte image sequences, wherein an analyte image sequence is generated by labeling analytes with markers in a plurality of coloring rounds and detecting the markers with a camera, the markers are selected based on a codebook such that signal sequences of analytes in an image region over the analyte image sequence comprise colored signals and uncolored signals, the camera captures an image of the analyte image sequence in each coloring round, the method comprising:
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