Purdue Research Foundation

Demid Sychev

Vladimir M Shalaev

Alexandra Boltasseva

Zachariah Olson Martin

Alexander V Kildishev

Zhaxylyk A Kudyshev

Alexei S Lagutchev

Simeon I Bogdanov

Xiaohui Xu

Alexander Senichev

Samuel Peana

Omer Yesilyurt

Vahagn Mkhitaryan

A photon emitter includes a multi-layer film. The multi-layer film includes a first material layer and a second material layer, and the multi-layer film includes an interface surface between the first and second material layers. The first material layer includes silicon nitride. The multi-layer film is formed by positioning the silicon nitride over the second material layer and energetically activating the combination of the first material layer and the second material layer. The interface surface is operable to emit single photons.

Systems and methods for single-photon emission

A method of providing super-resolved images of a photon emitting particle is disclosed, which includes providing a machine-learning (ML) platform, wherein the ML platform is configured to receive pixel-based sparse autocorrelation data and generate a predicted super-resolved image of a photon emitting particle, receiving photons from the photon emitting particle by two or more photon detectors, each generating an electrical pulse associated with receiving an incident photon thereon, generating sparse autocorrelation data from the two or more photon detectors for each pixel within an image area, and inputting the pixel-based sparse autocorrelation data to the ML platform, thereby generating a predicted super-resolved image of the imaging area, wherein the resolution of the super-resolved image is improved by √n as compared to a classical optical microscope limited by Abbe diffraction limit.

Machine learning assisted super resolution microscopy

Growing community of inventors

West Lafayette, IN, United States of America

Demid Sychev