Robust optical autofocus system utilizing neural networks applied to automated multiwell plate STORM microscopy
Article 2021 en
Authors
JL
Jonathan Lightley
FG
Frederik Görlitz
SK
Somesh Kumar
Abstract
1 min read
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.
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
Jonathan Lightley, Frederik Görlitz, Sunil Kumar, Ranjan Kalita, Arinbjörn Kolbeinsson, Edwin García, Yuriy Alexandrov, Vicky Bousgouni, Riccardo Wysoczanski, Peter J Barnes, Louise Donnelly, Chris Bakal, Christopher Dunsby, Mark A. A. Neil, Seth Flaxman, Paul M. W. French
Jonathan Lightley, Frederik Görlitz, Somesh Kumar, Ranjan Kalita, Arinbjörn Kolbeinsson, Edwin García, Y.I. Alexandrov, Vicky Bousgouni, Riccardo Wysoczanski, Peter J Barnes, Louise Donnelly, Chris Bakal, Christopher Dunsby, Mark A. A. Neil, Seth Flaxman, Paul M. W. French
Frederik Görlitz, Jonathan Lightley, Sunil Kumar, Edwin García, Ming Yan, Riccardo Wysoczanski, Yuriy Alexandrov, Jonathan Baker, Peter J Barnes, Ian Munro, Louise Donnelly, Christopher Dunsby, Mark A. A. Neil, Paul M. W. French
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