17 citations · 36 across the 15 of their papers we have counts for
5 papers · 1 filter
DEEP: Deep Learning Powered De-scattering with Excitation Patterning
Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng +3
Limited throughput is a key challenge in in-vivo deep-tissue imaging using nonlinear optical microscopy. Point scanning multiphoton microscopy, the current gold standard, is slow e…
Deep Optical Coding Design in Computational Imaging
Henry Arguello, Jorge Bacca, Hasindu Kariyawasam +10
Computational optical imaging (COI) systems leverage optical coding elements (CE) in their setups to encode a high-dimensional scene in a single or multiple snapshots and decode it…
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy
Udith Haputhanthri, Kithmini Herath, Ramith Hettiarachchi +5
With applications ranging from metabolomics to histopathology, quantitative phase microscopy (QPM) is a powerful label-free imaging modality. Despite significant advances in fast m…
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging
Udith Haputhanthri, Andrew Seeber, Dushan Wadduwage
The trade-off between throughput and image quality is an inherent challenge in microscopy. To improve throughput, compressive imaging under-samples image signals; the images are th…
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope
Kithmini Herath, Hasindu Kariyawasam, Ramith Hettiarachchi +7
Designing new optical systems from the ground up for microscopy imaging tasks such as phase retrieval, requires substantial scientific expertise and creativity. To augment the trad…