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