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@article{Boland:2021,
author = {Boland, M and Cohen, E and Flaxman, S and Neil, M},
journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
title = {Improving axial resolution in SIM using deep learning},
url = {http://hdl.handle.net/10044/1/86832},
year = {2021}
}
TY - JOUR
AB - Structured Illumination Microscopy is a widespreadmethodology to image live and fixed biologicalstructures smaller than the diffraction limits ofconventional optical microscopy. Using recent advancesin image up-scaling through deep learning models,we demonstrate a method to reconstruct 3D SIMimage stacks with twice the axial resolution attainablethrough conventional SIM reconstructions. We furtherdemonstrate our method is robust to noise & evaluateit against two point cases and axial gratings. Finally,we discuss potential adaptions of the method tofurther improve resolution.
AU - Boland,M
AU - Cohen,E
AU - Flaxman,S
AU - Neil,M
PY - 2021///
SN - 1364-503X
TI - Improving axial resolution in SIM using deep learning
T2 - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
UR - http://hdl.handle.net/10044/1/86832
ER -