In this experiment, the jacket temperature was maintained at 30 °C while a stream of compressed air was blown overhead of a solution of 0.13 M of acetaminophen in 50 mL MeCN. As the flow of compressed air was kept constant, we anticipated that the rate of evaporation would be invariant over most of the process. The CV system initially indicated a steady evaporation rate of 0.77 mL/min, as evidenced by the volume trend shown in Figure . However, once the volume decreased below 23.5 mL, there was a significant increase in the evaporation rate, reaching a constant 6.75 mL/min until the solvent was completely evaporated. In addition, the formation of a solid residue on the reactor walls ("residue") and a solid precipitate in the solution ("solid") was captured qualitatively (via images) and quantitatively (via trends) by the CV system. The precipitate formation, indicated by an increase in the "solid" trend, was observed at 50 minutes when the reactor volume dropped below 26 mL, corresponding to the nucleation point at a constant temperature. Furthermore, the total dryness was observed at 69 min when the volume of the solution and its turbidity value dropped to zero. Repeating the experiment resulted in a similar evaporation rate and volume for the onset of precipitation, supporting the estimation of the metastable limit for our system (see SI for details). More interestingly, HeinSight2.0 was able to discriminate between the crystals formed in the supernatant solution (i.e., solid) vs the solids building up on the side of the flask (i.e., residue). This was possible due to the non-maximum suppression (NMS) applied to the CNN algorithm. In cases where there are multiple overlapping instances in the same region of interest, NMS enables the label with the highest confidence value to receive the score while the remaining instances are suppressed, see SI for details. By ensuring that only the most confident label is retained for each region of interest, labeling accuracy is improved.