Researchers at the National Institute of Technology (NIT), Rourkela have introduced an innovative AI-driven autofocusing microscopy technology aimed at enhancing biomedical diagnostics. This development could revolutionize the detection of diseases such as acute lymphoblastic leukaemia and malaria, making healthcare diagnostics more accessible and efficient in India.
The new system, created in partnership with Glowvista Instruments, showcases the potential for rapid and precise imaging with minimal human involvement. Unlike traditional microscopy that relies heavily on manual focusing—often leading to errors and delays—this technology employs deep learning algorithms and automated motion control to continuously optimize focus in real-time.
Costing approximately Rs 1.2 lakh, the platform not only excels in cancer and malaria detection but also offers capabilities for complete blood cell counts. The goal is to develop a user-friendly, handheld version that can compete with expensive automated systems, broadening its application across various healthcare sectors, including digital pathology and point-of-care diagnostics.
As the research team prepares for field trials and aims to refine the technology based on feedback, they are also seeking further support to transition this promising innovation into a market-ready product. This initiative highlights the growing importance of AI in improving diagnostic methodologies and the potential for more efficient healthcare solutions.