NIT Rourkela Pioneers AI-Driven Microscopy for Swift Disease Detection
NIT Rourkela has patented an AI-enabled autofocusing microscopy technology that significantly improves disease diagnosis. The innovation uses real-time image analysis and automation to enhance accuracy and speed, with applications in various fields including digital pathology and portable diagnostics.

Highlights
- •AI-Enabled Autofocusing Microscopy Technology
- •Acute Lymphoblastic Leukemia Detection
- •Malaria Diagnosis
- •Rapid Disease Diagnosis
Odisha-based National Institute of Technology (NIT) Rourkela has achieved a groundbreaking development in the field of biomedical diagnostics. The institute's researchers, under the guidance of Assistant Professor Prof. Earu Banoth and collaborating with startup Glowvista Instruments Private Limited, have patented an AI-enabled autofocusing microscopy technology. This innovation revolutionizes traditional imaging techniques by ensuring rapid, accurate results with minimal human intervention.
The patent titled "A Method for Autofocusing in Optofluidic Microsystems and Processes" (Patent No. 589270) addresses the limitations of conventional microscopy by integrating deep learning algorithms with optical imaging and automated motion control. This system is designed to continuously analyze microscopic images in real-time, automatically adjusting focus, thereby ensuring consistent and reliable diagnosis.
Enhancements in Diagnostics
The NIT Rourkela technology has already shown remarkable success in detecting diseases such as Acute Lymphoblastic Leukemia (blood cancer), malaria, and conducting complete blood cell classification. Developed at an estimated cost of Rs 1.20 lakh, the system's key features include AI-powered intelligent autofocus, automated motion control, enhanced imaging capabilities for complex biological samples, cloud-enabled learning and user-friendly operation.
According to Prof. Banoth, the research team aimed to develop a simple handheld device that matches the performance of imported automated microscopy technologies while offering affordability and adaptability across multiple applications. The project received support from the Anusandhan National Research Foundation, the Department of Science and Technology, and the Department of Biotechnology.
The technology's multifaceted applications include biomedical diagnostics, digital pathology, AI-assisted microscopy, point-of-care healthcare devices, smart laboratory automation, and portable diagnostic systems. NIT Rourkela's vision is to scale up this technology for deployment in various diagnostic centers and research labs, aiming to develop a market-ready product aligned with the Government of India's Make in India initiative.




