Researchers at NIT Rourkela have unveiled an innovative AI-enabled autofocusing technology aimed at enhancing microscopic imaging for biomedical diagnostics. This development, in partnership with Glowvista Instruments, addresses key challenges faced by traditional microscopy systems, such as manual focus adjustments that can lead to diagnostic inaccuracies and delays.
The newly patented technology, titled “A Method for Autofocusing in Optofluidic Microsystems and Processes,” integrates deep learning algorithms with optical imaging and automated motion control. This allows for real-time analysis and automatic focus adjustments, improving the efficiency and reliability of imaging processes. Initial tests have shown promise in applications like Acute Lymphoblastic Leukemia detection and malaria diagnosis, demonstrating the platform's versatility in various biomedical contexts.
With a development cost of approximately Rs 1.20 lakh, the platform features capabilities such as cloud-enabled learning and support for biological samples, aiming to reduce human intervention in diagnostics. The research team, led by Prof. Earu Banoth, is also focused on creating a handheld microscopy system that can rival existing automated technologies while catering to multiple biomedical applications.
As the project progresses, the team is working on scaling the technology for field deployment and regulatory approvals. The potential applications for this technology span digital pathology, AI-assisted microscopy, and portable diagnostics, indicating significant advancements in laboratory automation and point-of-care diagnostics.