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HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence

The expansion of fluorescence bioimaging toward more complex systems and geometries requires analytical tools capable of spanning widely varying timescales and length scales, cleanly separating multiple fluorescent labels and distinguishing these labels from background autofluorescence. Here we meet...

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Autores principales: Chiang, Hsiao Ju, Koo, Daniel E. S., Kitano, Masahiro, Burkitt, Sean, Unruh, Jay R., Zavaleta, Cristina, Trinh, Le A., Fraser, Scott E., Cutrale, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911352/
https://www.ncbi.nlm.nih.gov/pubmed/36658278
http://dx.doi.org/10.1038/s41592-022-01751-5
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author Chiang, Hsiao Ju
Koo, Daniel E. S.
Kitano, Masahiro
Burkitt, Sean
Unruh, Jay R.
Zavaleta, Cristina
Trinh, Le A.
Fraser, Scott E.
Cutrale, Francesco
author_facet Chiang, Hsiao Ju
Koo, Daniel E. S.
Kitano, Masahiro
Burkitt, Sean
Unruh, Jay R.
Zavaleta, Cristina
Trinh, Le A.
Fraser, Scott E.
Cutrale, Francesco
author_sort Chiang, Hsiao Ju
collection PubMed
description The expansion of fluorescence bioimaging toward more complex systems and geometries requires analytical tools capable of spanning widely varying timescales and length scales, cleanly separating multiple fluorescent labels and distinguishing these labels from background autofluorescence. Here we meet these challenging objectives for multispectral fluorescence microscopy, combining hyperspectral phasors and linear unmixing to create Hybrid Unmixing (HyU). HyU is efficient and robust, capable of quantitative signal separation even at low illumination levels. In dynamic imaging of developing zebrafish embryos and in mouse tissue, HyU was able to cleanly and efficiently unmix multiple fluorescent labels, even in demanding volumetric timelapse imaging settings. HyU permits high dynamic range imaging, allowing simultaneous imaging of bright exogenous labels and dim endogenous labels. This enables coincident studies of tagged components, cellular behaviors and cellular metabolism within the same specimen, providing more accurate insights into the orchestrated complexity of biological systems.
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spelling pubmed-99113522023-02-11 HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence Chiang, Hsiao Ju Koo, Daniel E. S. Kitano, Masahiro Burkitt, Sean Unruh, Jay R. Zavaleta, Cristina Trinh, Le A. Fraser, Scott E. Cutrale, Francesco Nat Methods Article The expansion of fluorescence bioimaging toward more complex systems and geometries requires analytical tools capable of spanning widely varying timescales and length scales, cleanly separating multiple fluorescent labels and distinguishing these labels from background autofluorescence. Here we meet these challenging objectives for multispectral fluorescence microscopy, combining hyperspectral phasors and linear unmixing to create Hybrid Unmixing (HyU). HyU is efficient and robust, capable of quantitative signal separation even at low illumination levels. In dynamic imaging of developing zebrafish embryos and in mouse tissue, HyU was able to cleanly and efficiently unmix multiple fluorescent labels, even in demanding volumetric timelapse imaging settings. HyU permits high dynamic range imaging, allowing simultaneous imaging of bright exogenous labels and dim endogenous labels. This enables coincident studies of tagged components, cellular behaviors and cellular metabolism within the same specimen, providing more accurate insights into the orchestrated complexity of biological systems. Nature Publishing Group US 2023-01-19 2023 /pmc/articles/PMC9911352/ /pubmed/36658278 http://dx.doi.org/10.1038/s41592-022-01751-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chiang, Hsiao Ju
Koo, Daniel E. S.
Kitano, Masahiro
Burkitt, Sean
Unruh, Jay R.
Zavaleta, Cristina
Trinh, Le A.
Fraser, Scott E.
Cutrale, Francesco
HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
title HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
title_full HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
title_fullStr HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
title_full_unstemmed HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
title_short HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
title_sort hyu: hybrid unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911352/
https://www.ncbi.nlm.nih.gov/pubmed/36658278
http://dx.doi.org/10.1038/s41592-022-01751-5
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