ADCI includes several preset image selection models. These image selection models are available for use directly after installation and do not have to be manually designed. Depending on which types of image quality issues are most prevalent in a sample, one of the preset models may be most appropriate to address those specific issues. This page will be updated with additional filters and filter descriptions which will aid the process of choosing the most appropriate filter.

• Exclude if length-width ratio z-score > 1.5
• Exclude if centromere candidate density z-score > 1.5
• Exclude if finite difference z-score < -1.5
• Image quality ranking method: Group bin method
• Include if ranked within the top 250 images

• Exclude if length-width ratio z-score > 1.5
• Exclude if centromere candidate density z-score > 1.5
• Exclude if finite difference z-score < -1.5
• Exclude if object count < 40
• Exclude if object count > 60
• Exclude if segmented count < 35 or > 50
• Exclude if classified object ratio > 0.6
• Image quality ranking method: None