Cilika-Reticulocytes is an application that automates reticulocyte counting in blood samples using advanced machine learning
Cilika-Reticulocytes is an application that automates reticulocyte counting in blood samples using advanced machine learning.
This app replaces time-consuming manual counting with accurate, AI-driven analysis.
KEY FEATURES:
Smart Microscope Integration:
• Capture high-resolution images directly from any microscope
• Live camera preview with focus and exposure controls
• Batch capture multiple fields of view (FOVs)
• Automatic image preprocessing for optimal AI analysis
AI-Powered Cell Detection:
• Advanced YOLO11n model trained specifically for reticulocyte identification
• Automated detection of RBCs and reticulocytes
• Real-time background processing while you continue capturing
• Confidence scoring for quality assurance
Interactive Review & Editing:
• Visual bounding boxes overlay on detected cells
• Manual correction tools to add missed cells or remove false positives
• Switch cell classifications between RBC and reticulocyte
• Mark FOVs as reviewed for quality control
Comprehensive Results Dashboard:
• Real-time reticulocyte percentage calculation
• Track progress against configurable RBC count targets
• Visual status indicators for processing and review states
• Aggregated statistics across all captured FOVs
Professional PDF Reports:
• Generate diagnostic reports
• Export and share reports directly from the app
Secure & Compliant:
• User authentication with Firebase integration
• Subscription-based access with offline capability