Scleroderma (systemic sclerosis) is a rare, chronic, autoimmune disease that causes the body to produce too much collagen, leading to the hardening and thickening of the skin and internal organs. For more than 50 years, physicians have relied on manually pinching the skin to assess its thickness, a subjective approach that remains central to the diagnosis of systemic sclerosis, assessment of disease extent and progression, and monitoring of response to treatment. Despite being the accepted standard practice, doctors can score the same patient differently based on their own unique touch and judgement, making it difficult to accurately track changes in skin thickening over time or assess a patient’s response to treatment.

For the first time, researchers at Boston University Chobanian & Avedisian School of Medicine and the Boston University Department of Biomedical Engineering have developed and tested a camera-based technique called spatial frequency domain imaging (SFDI) to assess skin changes in scleroderma patients. SFDI works by shining patterns of harmless light on the skin, without touching it, and measuring how the light bounces back. “We have been developing SFDI for almost 15 years in my lab, but this is the first time anyone has applied this technology to scleroderma” explained Darren Roblyer, PhD, professor of biomedical engineering and co-author on the manuscript.

A major software advance could aid the creation of bigger, more reliable quantum computers, a study suggests.