The invention provides a pipettor leakage detection device, method and
system. The device comprises a
leak detection device, an integrated image capturing module and an environment sensor, imaging parameters are dynamically adjusted to carry out high-definition multispectral imaging on liquid drops suspended at the bottom of the suction head, and the sealing failure degree is analyzed and quantified in combination with
liquid drop oscillation. The method comprises the following steps: distributing liquid by stages after liquid absorption, returning 90% of the liquid to a
liquid storage device, and retaining 10% of the liquid to form liquid drops; and extracting
liquid drop characteristics based on an
airflow disturbance test and multispectral imaging, judging leakage if the
liquid drop is missing or the area is smaller than a threshold value, triggering self-cleaning, generating a
traceability report, and feeding back data to optimize a judgment threshold value. The
system integrates a multi-channel pipetting head, a leakage detection device and a
data processing center, images and pressure signals are subjected to
cross validation through data fusion, and a
motion control module is driven to execute a decision
closed loop (pipetting is suspended during leakage, and micro leakage is remeasured). The full-time-history leakage detection of the multi-channel pipettor is realized, 384-channel detection is less than or equal to 8 seconds, and the high-
throughput detection reliability is remarkably improved.