Our system is achieved by integrating diffraction and deep learning methods, which allows high-throughput lensless imaging system to display wide range and high-resolution images. In addition, the developed extraction chips and prototype were verified to accurately detect the number and proportion of blood cells under low blood demand. Our system shows great potential in point-of-care blood cells monitoring for cancer patients that could reduce infection risk and mortality rate, increase efficacy of chemotherapy and support precision medicine.

Our system successfully transforms huge and complex optical instruments into light and portable devices which break through the limitations of optical instruments and field of view of optical lens through the integration of diffraction and deep learning methods. It is verified that our system is capable of obtaining images under wide range up to 30 mm2 and resolution up to 40X microscope showing high application value in biomedical field. Importantly, high accuracy of 97.8％ in blood cells resolution within 4 seconds is confirmed using our system when comparing with standard blood smear method.

Chemotherapy-induced myelosuppression is a life-threatening side effect that has significantly affected the treatment to cancer patients by causing fatigue, fatal infection, and excess bleeding. Our system is aiming to monitor blood cell counts of cancer patients at point-of-care setting while undergoing treatments and COVID-19 pandemic. Our system demonstrates great capabilities in not only prevention of neutropenia and decrease the cost of referral to hospitals, but also improve home care of cancer patients and elderly comorbidities and telemedicine to practically achieve precision medicine.

Technology

S11101T0591

National Central University(國立中央大學)

Academic institution

Trial production

2022/01/06

Joint development,Negotiate by self,

2024/01/06