Computational imaging, sensing and diagnostics for global health applications.
In this review, we summarize some of the recent work in emerging computational imaging, sensing and diagnostics techniques, along with some of the complementary non-computational modalities that can potentially transform the delivery of health care globally. As computational resources are becoming more and more powerful, while also getting cheaper and more widely available, traditional imaging, sensing and diagnostic tools will continue to experience a revolution through simplification of their designs, making them compact, light-weight, cost-effective, and yet quite powerful in terms of their performance when compared to their bench-top counterparts.
Department of Electrical Engineering, University of California, Los Angeles, CA 90095, United States; Department of Bioengineering, University of California, Los Angeles, CA 90095, United States.
Ahmet F
AF
Coskun
Department of Electrical Engineering, University of California, Los Angeles, CA 90095, United States; Department of Bioengineering, University of California, Los Angeles, CA 90095, United States; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095, United States. Electronic address: ozcan@ucla.edu.
Aydogan
A
Ozcan
D003362:Cost-Benefit Analysis; D003952:Diagnostic Imaging / Q000295:instrumentation / Q000379:methods*; D014943:Global Health; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*