Aydogan Ozcan
University of California-Los Angeles, CA·Biomedical Engineering
Seeing inside the body usually means bulky, expensive equipment. Skin scatters and absorbs light, which blurs any image of the blood vessels and cells beneath it.
- Fields
Biomedical Engineering
Engineering
Physics
- Topics
diffractive optical networks
diffractive deep neural networks
computational imaging
- Grants
- 1 known grant, through Apr 2027
What they work on
- Design diffractive optical networks, stacks of deep-learning-optimized, sub-wavelength-patterned layers, that undo skin scattering and absorption to reconstruct images of objects beneath tissue in near-infrared light.
- Fabricate the diffractive layers by two-photon polymerization, a high-precision laser 3D printing technique, and integrate them with an imager chip.
- Test imaging and sensing performance through skin phantoms integrated with microfluidic channels that simulate blood flow, as a basis for later cell counting in animals.
More about the research
A thin, wearable device that could see through skin without electrical power for computing could make tasks like counting blood cells or spotting infections far more practical and affordable.
Why it matters
Compact, low-cost optical devices that image through skin could enable wearable diagnostics. Possible uses include counting blood cells, detecting infections or bacteria beneath the skin, and reading implanted optical sensors. Making such devices cheaper and smaller could widen access to monitoring that now requires large laboratory instruments.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Peter T. So
Massachusetts Institute of Technology, MA·Biomedical Engineering
Design optical compression schemes for differentiable microscopy by training front-end optics and the decompression algorithm together as one neural-network auto-encoder.
Roberto Paiella
Boston University, MA·Engineering
Design and fabricate dielectric metasurfaces on commercial CMOS sensor arrays to build a phase-imaging meta-sensor (PIMS) array that reconstructs optical phase quantitatively in a single shot.
Jinwei Ye
George Mason University, VA·Computer Science·Early-career
Model how the polarization of light changes when it reflects off complex surfaces, using physics-based layered material models and a shared high-precision polarimetric reflectance dataset.
The school
University of California-Los Angeles: 84 labs on PI Pages, $1.9B a year on research, 803 research doctorates a year.
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