Literature DB >> 26826909

High-throughput analysis of horse sperms' 3D swimming patterns using computational on-chip imaging.

Ting-Wei Su1, Inkyum Choi2, Jiawen Feng2, Kalvin Huang2, Aydogan Ozcan3.   

Abstract

Using a high-throughput optical tracking technique that is based on partially-coherent digital in-line holography, here we report a detailed analysis of the statistical behavior of horse sperms' three-dimensional (3D) swimming dynamics. This dual-color and dual-angle lensfree imaging platform enables us to track individual 3D trajectories of ∼1000 horse sperms at sub-micron level within a sample volume of ∼9μL at a frame rate of 143 frames per second (FPS) and collect thousands of sperm trajectories within a few hours for statistical analysis of their 3D dynamics. Using this high-throughput imaging platform, we recorded >17,000 horse sperm trajectories that can be grouped into six major categories: irregular, linear, planar, helical, ribbon, and hyperactivated, where the hyperactivated swimming patterns can be further divided into four sub-categories, namely hyper-progressive, hyper-planar, hyper-ribbon, and star-spin. The large spatio-temporal statistics that we collected with this 3D tracking platform revealed that irregular, planar, and ribbon trajectories are the dominant 3D swimming patterns observed in horse sperms, which altogether account for >97% of the trajectories that we imaged in plasma-free semen extender medium. Through our experiments we also found out that horse seminal plasma in general increases sperms' straightness in their 3D trajectories, enhancing the relative percentage of linear swimming patterns and suppressing planar swimming patterns, while barely affecting the overall percentage of ribbon patterns.
Copyright © 2016 Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 26826909     DOI: 10.1016/j.anireprosci.2015.12.012

Source DB:  PubMed          Journal:  Anim Reprod Sci        ISSN: 0378-4320            Impact factor:   2.145


  4 in total

1.  Computational imaging of sperm locomotion.

Authors:  Mustafa Ugur Daloglu; Aydogan Ozcan
Journal:  Biol Reprod       Date:  2017-08-01       Impact factor: 4.285

2.  Four-dimensional analysis by high-speed holographic imaging reveals a chiral memory of sperm flagella.

Authors:  Michael Muschol; Caroline Wenders; Gunther Wennemuth
Journal:  PLoS One       Date:  2018-06-28       Impact factor: 3.240

3.  Label-free 3D computational imaging of spermatozoon locomotion, head spin and flagellum beating over a large volume.

Authors:  Mustafa Ugur Daloglu; Wei Luo; Faizan Shabbir; Francis Lin; Kevin Kim; Inje Lee; Jia-Qi Jiang; Wen-Jun Cai; Vishwajith Ramesh; Meng-Yuan Yu; Aydogan Ozcan
Journal:  Light Sci Appl       Date:  2018-01-12       Impact factor: 17.782

4.  3D imaging of sex-sorted bovine spermatozoon locomotion, head spin and flagellum beating.

Authors:  Mustafa Ugur Daloglu; Francis Lin; Bryan Chong; Daniel Chien; Muhammed Veli; Wei Luo; Aydogan Ozcan
Journal:  Sci Rep       Date:  2018-10-23       Impact factor: 4.379

  4 in total

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