Journal
NATURE METHODS
Volume 17, Issue 6, Pages 595-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41592-020-0831-y
Keywords
-
Categories
Funding
- State of Saxony
- European Fund for Regional Development
- Alexander von Humboldt-Stiftung (Alexander von Humboldt Professorship)
- ERC Starting Grant (starting grant LightTouch) [282060]
- European Commission through LAPASO ITN project (EU FP7/2007-2013) [607350]
- DKMS `Mechthild Harf Research Grant' [DKMS-SLS-MHG-2016-02]
- German Research Foundation [GU 612/5-1]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available