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A New Way to Look at an Old Disease

CIA Lab Researchers, in collaboration with the Department of Infectious Disease and Global Health, Tufts University in Grafton, Massachusetts, have developed a novel platform to analyze tuberculosis histopathology. 

The recent publication, "Detecting and Characterizing Cellular Responses to Mycobacterium Tuberculosis from Histology Slides” by Niazi, Beamer, and Gurcan, details a new method to identify and characterize granulomas and lymphocytic cuffs in Mycobacterium tuberculosis infected lungs. The framework, DeHiDe, used an internuclei geodesic distance calculation to detect the high cell density regions at 99.39% accuracy compared to the pathologist and to classify the regions at 90.87% accuracy.  The full text will be published in the February 2014 edition of Cytometry A.


One third of the world's population is thought to have been infected with tuberculosis causing bacteria, and there are an estimated 14 million active chronic cases all over the world. 

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