MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122227 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'automated white blood cell classification system using convolutional neural networks.'
Inventor(s) include Dr. Budhaditya Bhattacharyya; Bhavesh Kamriya; Aryan Mishra; and Veral Sharma.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides an automated white blood cell classification system comprising a data acquisition module configured to receive digital microscopic images of blood smears containing white blood cells, an image preprocessing module configured to standardize the received images by resizing to 128 128 pixels and normalizing pixel values for neural network processing, a convolutional neural network module trained to classify white blood cells into at least four categories comprising neutrophils, lymphocytes, monocytes, and eosinophils, and a classification engine configured to process the standardized images through the convolutional neural network module and generate classification results. The system eliminates inter-observer variability inherent in manual microscopic examination while providing consistent and objective results across different operators and clinical settings through automated processing of blood smear images (1)."
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