Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams

We present a protocol for the biosensor Cell-Fit-HD(4D). It enables long-term monitoring and correlation of single-cell fate with subcellular-deposited energy of ionizing radiation. Cell fate tracking using widefield time-lapse microscopy is uncoupled in time from confocal ion track imaging. Registr...

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Detalles Bibliográficos
Autores principales: Schlegel, Julian, Liew, Hans, Rein, Katrin, Dzyubachyk, Oleh, Debus, Jürgen, Abdollahi, Amir, Niklas, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627659/
https://www.ncbi.nlm.nih.gov/pubmed/36340882
http://dx.doi.org/10.1016/j.xpro.2022.101798
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author Schlegel, Julian
Liew, Hans
Rein, Katrin
Dzyubachyk, Oleh
Debus, Jürgen
Abdollahi, Amir
Niklas, Martin
author_facet Schlegel, Julian
Liew, Hans
Rein, Katrin
Dzyubachyk, Oleh
Debus, Jürgen
Abdollahi, Amir
Niklas, Martin
author_sort Schlegel, Julian
collection PubMed
description We present a protocol for the biosensor Cell-Fit-HD(4D). It enables long-term monitoring and correlation of single-cell fate with subcellular-deposited energy of ionizing radiation. Cell fate tracking using widefield time-lapse microscopy is uncoupled in time from confocal ion track imaging. Registration of both image acquisition steps allows precise ion track assignment to cells and correlation with cellular readouts. For complete details on the use and execution of this protocol, please refer to Niklas et al. (2022).
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spelling pubmed-96276592022-11-03 Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams Schlegel, Julian Liew, Hans Rein, Katrin Dzyubachyk, Oleh Debus, Jürgen Abdollahi, Amir Niklas, Martin STAR Protoc Protocol We present a protocol for the biosensor Cell-Fit-HD(4D). It enables long-term monitoring and correlation of single-cell fate with subcellular-deposited energy of ionizing radiation. Cell fate tracking using widefield time-lapse microscopy is uncoupled in time from confocal ion track imaging. Registration of both image acquisition steps allows precise ion track assignment to cells and correlation with cellular readouts. For complete details on the use and execution of this protocol, please refer to Niklas et al. (2022). Elsevier 2022-10-29 /pmc/articles/PMC9627659/ /pubmed/36340882 http://dx.doi.org/10.1016/j.xpro.2022.101798 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Schlegel, Julian
Liew, Hans
Rein, Katrin
Dzyubachyk, Oleh
Debus, Jürgen
Abdollahi, Amir
Niklas, Martin
Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams
title Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams
title_full Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams
title_fullStr Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams
title_full_unstemmed Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams
title_short Biosensor Cell-Fit-HD(4D) for correlation of single-cell fate and microscale energy deposition in complex ion beams
title_sort biosensor cell-fit-hd(4d) for correlation of single-cell fate and microscale energy deposition in complex ion beams
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627659/
https://www.ncbi.nlm.nih.gov/pubmed/36340882
http://dx.doi.org/10.1016/j.xpro.2022.101798
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