Complete blood count (CBC) analysis mobile application

• Main Authors: Malasaga, Elisa V., Magpantay, Abraham, Contreras, Jennifer O., Olama, Dialani, Basilen, Lexor James, Cleofas, Hazel Czarin S., Wsquivel, Danilo R., Hsieh, Ming-Che
• Format: text
• Published: Animo Repository 2024
• Subjects: Image processing—Digital techniques; Blood—Analysis; Digital holographic microscopy; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/12715
• Institution: De La Salle University

Complete Blood Count is one of the most commonly performed medical laboratory procedure today. It is required to detect various types of diseases. Presently, some small- scale clinics in the country still does the tedious, manual method of counting the blood cell. With Complete Blood Count Analysis System through Image Processing, automated CBC can be performed by mounting the smart phone camera on the viewer of the microscope. The input image will go through several image processing algorithms such as: Binary Thresholding, Clustering, and Hough Circle Technique. The result will be computed through the formulas used in the manual method of the CBC process. Experimental results show the developed system gains 94% of accuracy for counting the Hematocrit, Hemoglobin, Red Blood Cell, and White Blood Cell values.