Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
Expanding on their previous work, Bondar et al present open source software tools to reliably quantify linear dichroism and determine molecular orientations. They demonstrate the utility of the tools by imaging synthetic lipid vesicles and as well as fluorescently labelled proteins in living cells
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2021-02-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-021-01694-1 |
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doaj-1ddcc28075a347aea94ccfb507f7c9df2021-02-14T12:27:22ZengNature Publishing GroupCommunications Biology2399-36422021-02-014111210.1038/s42003-021-01694-1Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software toolsAlexey Bondar0Olga Rybakova1Josef Melcr2Jan Dohnálek3Petro Khoroshyy4Ondřej Ticháček5Štěpán Timr6Paul Miclea7Alina Sakhi8Vendula Marková9Josef Lazar10Institute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceInstitute of Organic Chemistry and Biochemistry, Czech Academy of ScienceExpanding on their previous work, Bondar et al present open source software tools to reliably quantify linear dichroism and determine molecular orientations. They demonstrate the utility of the tools by imaging synthetic lipid vesicles and as well as fluorescently labelled proteins in living cellshttps://doi.org/10.1038/s42003-021-01694-1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alexey Bondar Olga Rybakova Josef Melcr Jan Dohnálek Petro Khoroshyy Ondřej Ticháček Štěpán Timr Paul Miclea Alina Sakhi Vendula Marková Josef Lazar |
spellingShingle |
Alexey Bondar Olga Rybakova Josef Melcr Jan Dohnálek Petro Khoroshyy Ondřej Ticháček Štěpán Timr Paul Miclea Alina Sakhi Vendula Marková Josef Lazar Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools Communications Biology |
author_facet |
Alexey Bondar Olga Rybakova Josef Melcr Jan Dohnálek Petro Khoroshyy Ondřej Ticháček Štěpán Timr Paul Miclea Alina Sakhi Vendula Marková Josef Lazar |
author_sort |
Alexey Bondar |
title |
Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools |
title_short |
Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools |
title_full |
Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools |
title_fullStr |
Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools |
title_full_unstemmed |
Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools |
title_sort |
quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools |
publisher |
Nature Publishing Group |
series |
Communications Biology |
issn |
2399-3642 |
publishDate |
2021-02-01 |
description |
Expanding on their previous work, Bondar et al present open source software tools to reliably quantify linear dichroism and determine molecular orientations. They demonstrate the utility of the tools by imaging synthetic lipid vesicles and as well as fluorescently labelled proteins in living cells |
url |
https://doi.org/10.1038/s42003-021-01694-1 |
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