Cargando…

Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation

Fluorescence lifetime imaging microscopy (FLIM) is a key technology that provides direct insight into cell metabolism, cell dynamics and protein activity. However, determining the lifetimes of different fluorescent proteins requires the detection of a relatively large number of photons, hence slowin...

Descripción completa

Detalles Bibliográficos
Autores principales: Zickus, Vytautas, Wu, Ming-Lo, Morimoto, Kazuhiro, Kapitany, Valentin, Fatima, Areeba, Turpin, Alex, Insall, Robert, Whitelaw, Jamie, Machesky, Laura, Bruschini, Claudio, Faccio, Daniele, Charbon, Edoardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710711/
https://www.ncbi.nlm.nih.gov/pubmed/33268900
http://dx.doi.org/10.1038/s41598-020-77737-0
_version_ 1783617992356003840
author Zickus, Vytautas
Wu, Ming-Lo
Morimoto, Kazuhiro
Kapitany, Valentin
Fatima, Areeba
Turpin, Alex
Insall, Robert
Whitelaw, Jamie
Machesky, Laura
Bruschini, Claudio
Faccio, Daniele
Charbon, Edoardo
author_facet Zickus, Vytautas
Wu, Ming-Lo
Morimoto, Kazuhiro
Kapitany, Valentin
Fatima, Areeba
Turpin, Alex
Insall, Robert
Whitelaw, Jamie
Machesky, Laura
Bruschini, Claudio
Faccio, Daniele
Charbon, Edoardo
author_sort Zickus, Vytautas
collection PubMed
description Fluorescence lifetime imaging microscopy (FLIM) is a key technology that provides direct insight into cell metabolism, cell dynamics and protein activity. However, determining the lifetimes of different fluorescent proteins requires the detection of a relatively large number of photons, hence slowing down total acquisition times. Moreover, there are many cases, for example in studies of cell collectives, where wide-field imaging is desired. We report scan-less wide-field FLIM based on a 0.5 MP resolution, time-gated Single Photon Avalanche Diode (SPAD) camera, with acquisition rates up to 1 Hz. Fluorescence lifetime estimation is performed via a pre-trained artificial neural network with 1000-fold improvement in processing times compared to standard least squares fitting techniques. We utilised our system to image HT1080—human fibrosarcoma cell line as well as Convallaria. The results show promise for real-time FLIM and a viable route towards multi-megapixel fluorescence lifetime images, with a proof-of-principle mosaic image shown with 3.6 MP.
format Online
Article
Text
id pubmed-7710711
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-77107112020-12-03 Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation Zickus, Vytautas Wu, Ming-Lo Morimoto, Kazuhiro Kapitany, Valentin Fatima, Areeba Turpin, Alex Insall, Robert Whitelaw, Jamie Machesky, Laura Bruschini, Claudio Faccio, Daniele Charbon, Edoardo Sci Rep Article Fluorescence lifetime imaging microscopy (FLIM) is a key technology that provides direct insight into cell metabolism, cell dynamics and protein activity. However, determining the lifetimes of different fluorescent proteins requires the detection of a relatively large number of photons, hence slowing down total acquisition times. Moreover, there are many cases, for example in studies of cell collectives, where wide-field imaging is desired. We report scan-less wide-field FLIM based on a 0.5 MP resolution, time-gated Single Photon Avalanche Diode (SPAD) camera, with acquisition rates up to 1 Hz. Fluorescence lifetime estimation is performed via a pre-trained artificial neural network with 1000-fold improvement in processing times compared to standard least squares fitting techniques. We utilised our system to image HT1080—human fibrosarcoma cell line as well as Convallaria. The results show promise for real-time FLIM and a viable route towards multi-megapixel fluorescence lifetime images, with a proof-of-principle mosaic image shown with 3.6 MP. Nature Publishing Group UK 2020-12-02 /pmc/articles/PMC7710711/ /pubmed/33268900 http://dx.doi.org/10.1038/s41598-020-77737-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zickus, Vytautas
Wu, Ming-Lo
Morimoto, Kazuhiro
Kapitany, Valentin
Fatima, Areeba
Turpin, Alex
Insall, Robert
Whitelaw, Jamie
Machesky, Laura
Bruschini, Claudio
Faccio, Daniele
Charbon, Edoardo
Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation
title Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation
title_full Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation
title_fullStr Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation
title_full_unstemmed Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation
title_short Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation
title_sort fluorescence lifetime imaging with a megapixel spad camera and neural network lifetime estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710711/
https://www.ncbi.nlm.nih.gov/pubmed/33268900
http://dx.doi.org/10.1038/s41598-020-77737-0
work_keys_str_mv AT zickusvytautas fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT wuminglo fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT morimotokazuhiro fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT kapitanyvalentin fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT fatimaareeba fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT turpinalex fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT insallrobert fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT whitelawjamie fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT macheskylaura fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT bruschiniclaudio fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT facciodaniele fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation
AT charbonedoardo fluorescencelifetimeimagingwithamegapixelspadcameraandneuralnetworklifetimeestimation