Acoustofluidic rotational tweezing enables high-speed contactless morphological phenotyping of zebrafish larvae
Chuyi Chen,
Yuyang Gu,
Julien Philippe,
Peiran Zhang,
Hunter Bachman,
Jinxin Zhang,
John Mai,
Joseph Rufo,
John F. Rawls,
Erica E. Davis,
Nicholas Katsanis and
Tony Jun Huang ()
Additional contact information
Chuyi Chen: Duke University
Yuyang Gu: Duke University
Julien Philippe: Duke University Medical Center
Peiran Zhang: Duke University
Hunter Bachman: Duke University
Jinxin Zhang: Duke University
John Mai: Alfred E. Mann Institute for Biomedical Engineering, University of Southern California
Joseph Rufo: Duke University
John F. Rawls: Duke University
Erica E. Davis: Duke University Medical Center
Nicholas Katsanis: Duke University Medical Center
Tony Jun Huang: Duke University
Nature Communications, 2021, vol. 12, issue 1, 1-13
Abstract:
Abstract Modern biomedical research and preclinical pharmaceutical development rely heavily on the phenotyping of small vertebrate models for various diseases prior to human testing. In this article, we demonstrate an acoustofluidic rotational tweezing platform that enables contactless, high-speed, 3D multispectral imaging and digital reconstruction of zebrafish larvae for quantitative phenotypic analysis. The acoustic-induced polarized vortex streaming achieves contactless and rapid (~1 s/rotation) rotation of zebrafish larvae. This enables multispectral imaging of the zebrafish body and internal organs from different viewing perspectives. Moreover, we develop a 3D reconstruction pipeline that yields accurate 3D models based on the multi-view images for quantitative evaluation of basic morphological characteristics and advanced combinations of metrics. With its contactless nature and advantages in speed and automation, our acoustofluidic rotational tweezing system has the potential to be a valuable asset in numerous fields, especially for developmental biology, small molecule screening in biochemistry, and pre-clinical drug development in pharmacology.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21373-3
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DOI: 10.1038/s41467-021-21373-3
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