Fig. 12
From: Deep learning enables the use of ultra-high-density array in DNBSEQ
Visualization of the benefits of HM preprocessing. As cyclic sequencing progresses, the histogram of the WF image from cycle 50 deviates from that of cycle 1, resulting in artifacts generated after SR reconstruction, as highlighted in color circles. These artifacts are reduced following HM preprocessing.
