Webinar recording on computational imaging available

A screen recording of the recent webinar from our lab (hosted by Photonics Media) is available here for open viewing. The topic is “From Lensless Cameras to Deep-Brain Microscopy: Exploring the Potential of Computational Imaging.”

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Flat lens paper in Optica

Along with Prof. Berardi Sensale-Rodrigues’ lab, our work on flat lenses was published in Optica here. The paper shows that flat lenses can perform much better than was previously thought possible. Specifically, we showed that diffractive flat lenses could outperform conventional lenses. This is an important discovery because diffractive flat lenses can be orders of magnitude thinner and lighter than conventional lenses. Furthermore, imaging systems that utilize 6 or 7 standard lenses could be replaced by 1 or 2 flat lenses, significantly reducing the complexity and size of such systems. In addition, we showed that diffractive flat lenses could outperform the recently popular metalenses while being much easier to manufacture due to their larger critical dimensions. The advances reported in the paper lay the foundations that open up simple flat optics to all imaging applications.

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Fall UROP applications due June 21

For undergraduates interested in doing research in the lab, please apply to the excellent UROP program available at the U. The deadline is June 21. See here for details.

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Five presentations from our lab at CLEO!

There will be five papers presented at CLEO this year representing excellent work from our team. The topics range from computational imaging, metamaterials to micro- and nanophotonics and computer-generated holography. Details are here.

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Lensless Imaging webinar at Photonics.com

Our lab’s research on computational imaging is featured on Photonics.com, which is also highlighting a webinar this June that is freely open to the public. See here for details.

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Deep Learning at the ECE Technical Open House

Brian Rodriguez presented his research on neural-network based lensless imaging at the ECE Technical Open House. Brian has shown that even without a lens, an image sensor can be turned into an imaging system by training a neural network to classify the observed objects (almost like magic!). His poster was titled “Applying deep learning to unconventional imaging tasks.” A technical paper will be published shortly.

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Research resources for Undergraduates

If you are an undergrad at the U and interested in doing research, consider applying for either the UROP program or the Capstone project funding. These are fantastic opportunities to get credit and also paid a stipend for doing research. Note the application deadlines!

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