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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.
Afiliação
  • Chiang HJ; Translational Imaging Center, University of Southern California, Los Angeles, CA, USA.
  • Koo DES; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
  • Kitano M; Translational Imaging Center, University of Southern California, Los Angeles, CA, USA.
  • Burkitt S; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
  • Unruh JR; Translational Imaging Center, University of Southern California, Los Angeles, CA, USA.
  • Zavaleta C; Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
  • Trinh LA; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
  • Fraser SE; Stowers Institute for Medical Research, Kansas City, MO, USA.
  • Cutrale F; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Nat Methods ; 20(2): 248-258, 2023 02.
Article em En | MEDLINE | ID: mdl-36658278
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixe-Zebra Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixe-Zebra Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article