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cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM

High optical resolution in microscopy usually goes along with costly hardware components, such as lenses, mechanical setups and cameras. Several studies proved that Single Molecular Localization Microscopy can be made affordable, relying on off-the-shelf optical components and industry grade CMOS ca...

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Autores principales: Diederich, Benedict, Then, Patrick, Jügler, Alexander, Förster, Ronny, Heintzmann, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326471/
https://www.ncbi.nlm.nih.gov/pubmed/30625170
http://dx.doi.org/10.1371/journal.pone.0209827
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author Diederich, Benedict
Then, Patrick
Jügler, Alexander
Förster, Ronny
Heintzmann, Rainer
author_facet Diederich, Benedict
Then, Patrick
Jügler, Alexander
Förster, Ronny
Heintzmann, Rainer
author_sort Diederich, Benedict
collection PubMed
description High optical resolution in microscopy usually goes along with costly hardware components, such as lenses, mechanical setups and cameras. Several studies proved that Single Molecular Localization Microscopy can be made affordable, relying on off-the-shelf optical components and industry grade CMOS cameras. Recent technological advantages have yielded consumer-grade camera devices with surprisingly good performance. The camera sensors of smartphones have benefited of this development. Combined with computing power smartphones provide a fantastic opportunity for “imaging on a budget”. Here we show that a consumer cellphone is capable of optical super-resolution imaging by (direct) Stochastic Optical Reconstruction Microscopy (dSTORM), achieving optical resolution better than 80 nm. In addition to the use of standard reconstruction algorithms, we used a trained image-to-image generative adversarial network (GAN) to reconstruct video sequences under conditions where traditional algorithms provide sub-optimal localization performance directly on the smartphone. We believe that “cellSTORM” paves the way to make super-resolution microscopy not only affordable but available due to the ubiquity of cellphone cameras.
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spelling pubmed-63264712019-01-18 cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM Diederich, Benedict Then, Patrick Jügler, Alexander Förster, Ronny Heintzmann, Rainer PLoS One Research Article High optical resolution in microscopy usually goes along with costly hardware components, such as lenses, mechanical setups and cameras. Several studies proved that Single Molecular Localization Microscopy can be made affordable, relying on off-the-shelf optical components and industry grade CMOS cameras. Recent technological advantages have yielded consumer-grade camera devices with surprisingly good performance. The camera sensors of smartphones have benefited of this development. Combined with computing power smartphones provide a fantastic opportunity for “imaging on a budget”. Here we show that a consumer cellphone is capable of optical super-resolution imaging by (direct) Stochastic Optical Reconstruction Microscopy (dSTORM), achieving optical resolution better than 80 nm. In addition to the use of standard reconstruction algorithms, we used a trained image-to-image generative adversarial network (GAN) to reconstruct video sequences under conditions where traditional algorithms provide sub-optimal localization performance directly on the smartphone. We believe that “cellSTORM” paves the way to make super-resolution microscopy not only affordable but available due to the ubiquity of cellphone cameras. Public Library of Science 2019-01-09 /pmc/articles/PMC6326471/ /pubmed/30625170 http://dx.doi.org/10.1371/journal.pone.0209827 Text en © 2019 Diederich et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Diederich, Benedict
Then, Patrick
Jügler, Alexander
Förster, Ronny
Heintzmann, Rainer
cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
title cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
title_full cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
title_fullStr cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
title_full_unstemmed cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
title_short cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
title_sort cellstorm—cost-effective super-resolution on a cellphone using dstorm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326471/
https://www.ncbi.nlm.nih.gov/pubmed/30625170
http://dx.doi.org/10.1371/journal.pone.0209827
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