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Citation

BibTex format

@inproceedings{Lightley:2021:10.1117/12.2615663,
author = {Lightley, J and Görlitz, F and Kumar, S and Kalita, R and Kolbeinsson, A and Garcia, E and Alexandrov, Y and Bousgouni, V and Wysoczanski, R and Barnes, P and Donelly, L and Bakal, C and Dunsby, C and Neil, MAA and Flaxman, S and French, PMW},
doi = {10.1117/12.2615663},
title = {ROBUST OPTICAL AUTOFOCUS SYSTEM UTILIZING NEURAL NETWORKS APPLIED TO AUTOMATED MULTIWELL PLATE STORM MICROSCOPY},
url = {http://dx.doi.org/10.1117/12.2615663},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - We present a robust, low-cost neural network-based optical autofocus system that can operate over a range of ±100µm with submicron precision, enabling automated high-content super-resolved imaging with a 1.3 NA objective lens.
AU - Lightley,J
AU - Görlitz,F
AU - Kumar,S
AU - Kalita,R
AU - Kolbeinsson,A
AU - Garcia,E
AU - Alexandrov,Y
AU - Bousgouni,V
AU - Wysoczanski,R
AU - Barnes,P
AU - Donelly,L
AU - Bakal,C
AU - Dunsby,C
AU - Neil,MAA
AU - Flaxman,S
AU - French,PMW
DO - 10.1117/12.2615663
PY - 2021///
SN - 1605-7422
TI - ROBUST OPTICAL AUTOFOCUS SYSTEM UTILIZING NEURAL NETWORKS APPLIED TO AUTOMATED MULTIWELL PLATE STORM MICROSCOPY
UR - http://dx.doi.org/10.1117/12.2615663
ER -