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Table 4 Predicted values for the descriptive parameters of the sex sorting of the Ae. aegypti GSS strain simulated under different conditions

From: Exploring the potential of computer vision analysis of pupae size dimorphism for adaptive sex sorting systems of various vector mosquito species

Sim. Conditions Group μm μf σm σf SDI SHI Performance Purity
- Experimental Batch1 17.34 20.31 0.76 0.73 2.00 1.02 91.51 99.5
   Batch 2 18.20 22.16 0.75 0.75 2.65 1.00 99.68 99.5
   Batch 3 18.04 22.24 0.95 0.72 2.54 0.87 99.03 99.5
a Combination of batches Total 17.86 21.72 1.22 0.81 1.94 0.81 74.51 99.5
b Differences in Batch 1 17.34 20.31 0.76 0.73 2.00 1.02 91.51 99.5
  intra-batch variance. sd* 1.2 17.34 20.31 0.91 0.87 1.66 1.02 74.38 99.5
  SSD constant sd* 0.8 17.34 20.31 0.61 0.58 2.49 1.02 99.12 99.5
c Differences in SSD Batch 1 17.34 20.31 0.76 0.73 2.00 1.02 91.51 99.5
  intra-batch. Variance, SSD-0.5 17.59 20.06 0.76 0.73 1.66 1.02 74.14 99.5
  Constant SSD+0.5 17.09 20.56 0.76 0.73 2.33 1.02 97.99 99.5
d Fixed threshold Batch1 17.34 20.31 0.76 0.73 2.00 1.02 93.69 99.22
  x=18.5 √pixels Batch 2 18.20 22.16 0.75 0.75 2.65 1.00 65.54 100.00
   Batch 3 18.04 22.24 0.95 0.72 2.54 0.87 73.80 99.99
  1. Abbreviations: Sim, reference for the simulation; Group, specific simulation for the group; μm, μf, σm, σf, parameters of the model; SDI, SHI, dimensionless parameters; Performance, % males recovery; Purity, % males on the sorted sample
  2. Simulations: a, effects of sex-sorting after combining the three batches; b, effects of increase/decrease the variance; c, effects of increase/decrease the difference in means between sexes; d, effects of sex-sorting three batches with a predefined size threshold. For each simulation, the parameters that are modified from the experimental data (first 3 rows) are highlighted in bold style