activity
20192023
most citedML-SIM: A deep neural network for reconstruction of structured illumination microscopy images

9 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2023

Fast, multicolour optical sectioning over extended fields of view by combining interferometric SIM with machine learning

Edward N. Ward, Rebecca M. McClelland, Jacob R. Lamb +8

Structured illumination can reject out-of-focus signal from a sample, enabling high-speed and high-contrast imaging over large areas with widefield detection optics. Currently, thi…

physics.ins-det2022

MAI-SIM: interferometric multicolor structured illumination microscopy for everybody

Edward N. Ward, Lisa Hecker, Charles N. Christensen +8

Sub-diffraction resolution, gentle sample illumination, and the possibility to image in multiple colors make Structured Illumination Microscopy (SIM) an imaging technique which is…

eess.IV2022★ 6 cited

Spatio-temporal Vision Transformer for Super-resolution Microscopy

Charles N. Christensen, Meng Lu, Edward N. Ward +2

Structured illumination microscopy (SIM) is an optical super-resolution technique that enables live-cell imaging beyond the diffraction limit. Reconstruction of SIM data is prone t…

eess.IV2020★ 9 cited

ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images

Charles N. Christensen, Edward N. Ward, Pietro Lio +1

Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatibl…

physics.app-ph2019★ 6 cited

Simple and robust speckle detection method for fire and heat detection in harsh environments

Charles N. Christensen, Yevgen Zainchkovskyy, Salvador Barrera-Figueroa +8

Standard laser based fire detection systems are often based on measuring variation of optical signal amplitude. However, mechanical noise interference and loss from dust and steam…