Fig. 4
From: Machine learning and microfluidic integration for oocyte quality prediction
(a) Maturation, Fertilization, and cleavage embryo stage. (b) The correlation between different features was analyzed using a Correlation Matrix and a Heatmap. (c–f) Distribution of key features including (c) Cell size, (d) CT, (e) Q, and (f) DI values. The histogram of cell size shows a concentration in the range of 105–115, indicating that most cells fall within this size range. The CT value distribution is primarily concentrated between 1 and 4, but with a wider spread for higher values. The Q value shows an asymmetrical distribution with a concentration around 0.1–0.5, suggesting low Q values for most cells. Finally, the DI distribution is focused between 1.2 and 1.3, implying relative consistency in this feature across the dataset.
