17 citations · 36 across the 15 of their papers we have counts for
4 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…
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…
3D Deep Learning Enables Fast Imaging of Spines through Scattering Media by Temporal Focusing Microscopy
Zhun Wei, Josiah R. Boivin, Yi Xue +4
Today the gold standard for in vivo imaging through scattering tissue is the point-scanning two-photon microscope (PSTPM). Especially in neuroscience, PSTPM is widely used for deep…