Now showing items 1-2 of 2

    • Deep Optical Coding Design in Computational Imaging: A data-driven framework 

      Arguello, Henry; Bacca, Jorge; Kariyawasam, Hasindu; Vargas, Edwin; Marquez, Miguel; Hettiarachchi, Ramith; Garcia, Hans; Herath, Kithmini; Haputhanthri, Udith; Ahluwalia, Balpreet Singh; So, Peter; Wadduwage, Dushan N.; Edussooriya, Chamira U.S. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-27)
      Computational optical imaging (COI) systems leverage optical coding elements (CEs) in their setups to encode a high-dimensional scene in a single or in multiple snapshots and decode it by using computational algorithms. The performance of COI systems highly depends on the design of its main components: the CE pattern and the computational method used to perform a given task. Conventional approaches ...
    • Highly sensitive quantitative phase microscopy and deep learning aided with whole genome sequencing for rapid detection of infection and antimicrobial resistance 

      Ahmad, Azeem; Hettiarachchi, Ramith; Khezri, Abdolrahman; Ahluwalia, Balpreet Singh; Wadduwage, Dushan; Ahmad, Rafi (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-12)
      Current state-of-the-art infection and antimicrobial resistance (AMR) diagnostics are based on culture-based methods with a detection time of 48–96 h. Therefore, it is essential to develop novel methods that can do real-time diagnoses. Here, we demonstrate that the complimentary use of label-free optical assay with whole-genome sequencing (WGS) can enable rapid diagnosis of infection and AMR. Our ...