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Get Free AccessWe 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.
Jonathan Lightley, Frederik Görlitz, Somesh Kumar, Ranjan Kalita, Arinbjörn Kolbeinsson, Edwin García, Y.I. Alexandrov, Vicky Bousgouni, Riccardo Wysoczanski, Peter J Barnes, L. Donelly, Chris Bakal, Christopher Dunsby, Mark A. A. Neil, Seth Flaxman, Paul M. W. French (2021). Robust optical autofocus system utilizing neural networks applied to automated multiwell plate STORM microscopy. , DOI: https://doi.org/10.1117/12.2615663.
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Type
Article
Year
2021
Authors
16
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1117/12.2615663
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