CPC G01N 35/1016 (2013.01) [G06T 7/10 (2017.01); G06T 7/20 (2013.01); G06T 7/62 (2017.01); G06V 10/764 (2022.01); G06T 2207/20081 (2013.01)] | 20 Claims |
11. A system, comprising:
a vessel holding a first liquid;
a liquid handling robot coupled to a pipette tip, the liquid handling robot configured to dispense a droplet of a second liquid from the pipette tip into the first liquid according to a set of liquid handling parameters;
a camera configured to sample a set of images of the droplet; and
a computing system configured to:
detect the droplet in the set of images using a machine learning model, wherein the machine learning model is trained using a set of labeled images of droplets, wherein the trained machine learning model distinguishes between air droplets and liquid droplets;
select a subset of images from the set of images, wherein selecting the subset of images from the set of images comprises checking that the detected droplet has separated from the pipette tip; and
determine a volume of the droplet based on the subset of images.
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