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dc.contributor.authorDaloglu, Mustafa Ugur
dc.contributor.authorLuo, Wei
dc.contributor.authorShabbir, Faizan
dc.contributor.authorLin, Francis
dc.contributor.authorKim, Kevin
dc.contributor.authorLee, Inje
dc.contributor.authorJiang, Jia-Qi
dc.contributor.authorCai, Wen-Jun
dc.contributor.authorRamesh, Vishwajith
dc.contributor.authorYu, Meng-Yuan
dc.contributor.authorOzcan, Aydogan
dc.date.accessioned2018-11-11T08:52:59Z
dc.date.available2018-11-11T08:52:59Z
dc.date.issued2018-01-12
dc.identifier.citationDaloglu MU, Luo W, Shabbir F, Lin F, Kim K, et al. (2017) Label-free 3D computational imaging of spermatozoon locomotion, head spin and flagellum beating over a large volume. Light: Science & Applications 7: 17121. Available: http://dx.doi.org/10.1038/lsa.2017.121.
dc.identifier.issn2047-7538
dc.identifier.doi10.1038/lsa.2017.121
dc.identifier.urihttp://hdl.handle.net/10754/629742
dc.description.abstractWe report a high-throughput and label-free computational imaging technique that simultaneously measures in three-dimensional (3D) space the locomotion and angular spin of the freely moving heads of microswimmers and the beating patterns of their flagella over a sample volume more than two orders-of-magnitude larger compared to existing optical modalities. Using this platform, we quantified the 3D locomotion of 2133 bovine sperms and determined the spin axis and the angular velocity of the sperm head, providing the perspective of an observer seated at the moving and spinning sperm head. In this constantly transforming perspective, flagellum-beating patterns are decoupled from both the 3D translation and spin of the head, which provides the opportunity to truly investigate the 3D spatio-temporal kinematics of the flagellum. In addition to providing unprecedented information on the 3D locomotion of microswimmers, this computational imaging technique could also be instrumental for micro-robotics and sensing research, enabling the high-throughput quantification of the impact of various stimuli and chemicals on the 3D swimming patterns of sperms, motile bacteria and other micro-organisms, generating new insights into taxis behaviors and the underlying biophysics.
dc.description.sponsorshipThe Ozcan Research Group at UCLA gratefully acknowledges the support of the Presidential Early Career Award for Scientists and Engineers (PECASE), the Army Research Office (ARO; W911NF-13-1-0419 and W911NF-13-1-0197), the ARO Life Sciences Division, the National Science Foundation (NSF) CBET Division Biophotonics Program, the NSF Emerging Frontiers in Research and Innovation (EFRI) Award, the NSF EAGER Award, NSF INSPIRE Award, NSF Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) Program, Office of Naval Research (ONR), the National Institutes of Health (NIH), the Howard Hughes Medical Institute (HHMI), Vodafone Americas Foundation, the Mary Kay Foundation, Steven & Alexandra Cohen Foundation, and KAUST. This work is based upon research performed in a laboratory renovated by the National Science Foundation under Grant No. 0963183, which is an award funded under the American Recovery and Reinvestment Act of 2009 (ARRA).
dc.publisherSpringer Nature
dc.titleLabel-free 3D computational imaging of spermatozoon locomotion, head spin and flagellum beating over a large volume
dc.typeArticle
dc.identifier.journalLight: Science & Applications
dc.contributor.institutionCalifornia NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionBioengineering Department, University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionChemistry and Biochemistry Department, University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionDepartment of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionDepartment of Mathematics, University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionComputer Science Department, University of California, Los Angeles, CA 90095, USA
dc.contributor.institutionDepartment of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA


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