4.8 Article

Intelligent image-based deformation-assisted cell sorting with molecular specificity

Journal

NATURE METHODS
Volume 17, Issue 6, Pages 595-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41592-020-0831-y

Keywords

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Funding

  1. State of Saxony
  2. European Fund for Regional Development
  3. Alexander von Humboldt-Stiftung (Alexander von Humboldt Professorship)
  4. ERC Starting Grant (starting grant LightTouch) [282060]
  5. European Commission through LAPASO ITN project (EU FP7/2007-2013) [607350]
  6. DKMS `Mechthild Harf Research Grant' [DKMS-SLS-MHG-2016-02]
  7. German Research Foundation [GU 612/5-1]

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Although label-free cell sorting is desirable for providing pristine cells for further analysis or use, current approaches lack molecular specificity and speed. Here, we combine real-time fluorescence and deformability cytometry with sorting based on standing surface acoustic waves and transfer molecular specificity to image-based sorting using an efficient deep neural network. In addition to general performance, we demonstrate the utility of this method by sorting neutrophils from whole blood without labels. Sorting RT-FDC combines real-time fluorescence and deformability cytometry with sorting based on standing surface acoustic waves to transfer molecular specificity to label-free, image-based cell sorting using an efficient deep neural network.

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