You can determine the number of reads that are being rejected due to adaptive sampling via two methods:

1. During the run: using the read length histogram in **MinKNOW **by ticking the box "Split by read end reason". If you are running in a mode where enough reads should be rejected to produce a peak of short reads, there should be a bimodal distribution with a peak at a base-count much lower than what you expect from the sample. The reads rejected by adaptive sampling will have the label "Adaptive sampling voltage reversal" and are shown in purple in the read length histogram.

2. Immediately after the sequencing run starts: please ensure that an adaptive_sampling.csv file was initialized into the "other_reports" folder inside your /data/EXPERIMENT_NAME/SAMPLE_NAME/RUN_ID folder. This file will contain information about the final decision that was taken by adaptive sampling for each read. Filtering this adaptive_sampling.csv by “decision” allows the user to know not only the number of reads accepted/rejected but also the specific readIDs of each read accepted and rejected. Accepted reads will be marked as “stop_receiving” and rekected reads will be marked as “unblock”.