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AI-Powered Blood Cell Classification - Real-Time Microscopic Image Analysis
Objective: Accurate identification and quantification of blood cell types are crucial in medical diagnostics and research. Traditional manual microscopy is time-consuming, prone to human error, and requires specialized expertise. A real-time, AI-driven solution is needed to automate blood cell classification, improve diagnostic efficiency, and provide reliable insights for medical professionals.
Solution: We developed an advanced image analysis system that integrates Ignition SCADA with a custom Python API powered by deep learning models. Our solution processes real-time microscopic images received by Ignition, classifying and counting blood cell types, including White Blood Cells (WBCs), Red Blood Cells (RBCs), and Platelets. Using our trained AI models, the system ensures accurate and automated cell recognition, enabling healthcare professionals to analyze blood samples efficiently without manual intervention. This automated approach enhances diagnostic accuracy, speeds up medical workflows, and supports large-scale blood analysis applications.
Services and Expertise: Real-Time Blood Cell Classification & Counting; Deep Learning Model; Development for Medical Image Analysis; SCADA Integration for Live Image Processing; Custom; Python API for AI-Powered Image Recognition; Automated Medical Diagnostics & Workflow Optimization
Technologies: Ignition SCADA, Python, TensorFlow, Keras, PyTorch, OpenCV, NumPy, Scikit-Learn, pandas, PostgreSQL, Flask
Achievements:
- Developed an AI-driven blood cell classification system that automates real-time identification and quantification of blood cells.
- Successfully integrated Ignition SCADA with a Python-based AI API, enabling real-time image processing and analysis.
- Trained high-accuracy deep learning models for WBC, RBC, and Platelet detection, leveraging thousands of labeled microscopic images.
- Implemented automated reporting and alerting to provide immediate insights into abnormal blood cell distributions.
- Optimized the workflow for laboratory technicians, reducing manual effort and improving the speed of blood sample analysis.
Value of our services: A user of our AI-powered blood cell classification system benefits from:
- Real-time classification of blood cells, reducing manual workload and improving diagnostic speed.
- High-accuracy AI models that ensure consistent and reliable identification of WBCs, RBCs, and Platelets.
- Seamless integration with Ignition SCADA, enabling continuous monitoring and effortless deployment within laboratory and research environments.
- Scalable and automated analysis, making it easier to process large volumes of blood sample images efficiently.