BARseq drops manual annotation: training on instrument-matched optics recovers about four more transcripts per cell
PhySeqNet trains U-Net detectors on semi-synthetic images built from an instrument-matched optical model plus real sample-free noise, so BARseq fluorescent rolonies can be localized without manual annotation, and with barcode-aware non-maxima suppression it recovers a median of 51 counts per cell versus 47 for BarDensr.