Spermometer: electrical characterization of single boar sperm motility

Wagenaar, Bjorn de; Geijs, Daan; Boer, H. de; Bomer, Johan G.; Olthuis, Wouter; Berg, Albert van den; Segerink, Loes

doi:10.1016/j.fertnstert.2016.05.008

Cited by 23 publications

(20 citation statements)

References 31 publications

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“…Outside of standard imaging and analysis procedures, there has been a growing interest in developing novel microfluidic devices for analysing the motility of sperm in controlled environments. The work of de Wagenaar et al . (2016) enables the trapping of single sperm cells and analysis of their beat frequency and amplitude using electrical impedance measurements.…”

Section: Introductionmentioning

confidence: 99%

“…These devices provide valuable tools for assessing sperm, and their ability to trap individual cells for analysis is of particular interest. While these devices are not necessarily aimed at clinical use (de Wagenaar et al ., 2016), the technology does provide a potential complementary approach to the waveform analysis presented here for gaining detailed understanding about the motility of sperm.…”

Section: Introductionmentioning

confidence: 99%

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Rapid sperm capture: high-throughput flagellar waveform analysis

et al. 2019

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STUDY QUESTION Can flagellar analyses be scaled up to provide automated tracking of motile sperm, and does knowledge of the flagellar waveform provide new insight not provided by routine head tracking? SUMMARY ANSWER High-throughput flagellar waveform tracking and analysis enable measurement of experimentally intractable quantities such as energy dissipation, disturbance of the surrounding medium and viscous stresses, which are not possible by tracking the sperm head alone. WHAT IS KNOWN ALREADY The clinical gold standard for sperm motility analysis comprises a manual analysis by a trained professional, with existing automated sperm diagnostics [computer-aided sperm analysis (CASA)] relying on tracking the sperm head and extrapolating measures. It is not currently possible with either of these approaches to track the sperm flagellar waveform for large numbers of cells in order to unlock the potential wealth of information enclosed within. STUDY DESIGN, SIZE, DURATION The software tool in this manuscript has been developed to enable high-throughput, repeatable, accurate and verifiable analysis of the sperm flagellar beat. PARTICIPANTS/MATERIALS, SETTING, METHODS Using the software tool [Flagellar Analysis and Sperm Tracking (FAST)] described in this manuscript, we have analysed 176 experimental microscopy videos and have tracked the head and flagellum of 205 progressive cells in diluted semen (DSM), 119 progressive cells in a high-viscosity medium (HVM) and 42 stuck cells in a low-viscosity medium. Unscreened donors were recruited at Birmingham Women’s and Children’s NHS Foundation Trust after giving informed consent. MAIN RESULTS AND THE ROLE OF CHANCE We describe fully automated tracking and analysis of flagellar movement for large cell numbers. The analysis is demonstrated on freely motile cells in low- and high-viscosity fluids and validated on published data of tethered cells undergoing pharmacological hyperactivation. Direct analysis of the flagellar beat reveals that the CASA measure ‘beat cross frequency’ does not measure beat frequency; attempting to fit a straight line between the two measures gives \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${\mathrm{R}}^2$\end{document} values of 0.042 and 0.00054 for cells in DSM and HVM, respectively. A new measurement, track centroid speed, is validated as an accurate differentiator of progressive motility. Coupled with fluid mechanics codes, waveform data enable extraction of experimentally intractable quantities such as energy dissipation, disturbance of the surrounding medium and viscous stresses. We provide a powerful and accessible research tool, enabling connection ...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rapid sperm capture: high-throughput flagellar waveform analysis

et al. 2019

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“…Until now, our focus was on individual trapping of sperm for analysis using chip technology 5,6,7 for a better quality selection in single sperm for ICSI. Although this research is still running, we started the second part: more efficiency in TESE work-up.…”

Section: Introductionmentioning

confidence: 99%

Separation of spermatozoa from erythrocytes using their tumbling mechanism in a pinch flow fractionation device

et al. 2019

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Men suffering from azoospermia can father a child, by extracting spermatozoa from a testicular biopsy sample. The main complication in this procedure is the presence of an abundance of erythrocytes. Currently, the isolation of the few spermatozoa from the sample is manually performed due to ineffectiveness of filtering methods, making it time consuming and labor intensive. The spermatozoa are smaller in both width and height than any other cell type found in the sample, with a very small difference compared with the erythrocyte for the smallest, making this not the feature to base the extraction on. However, the length of the spermatozoon is 5× larger than the diameter of an erythrocyte and can be utilized. Here we propose a microfluidic chip, in which the tumbling behavior of spermatozoa in pinched flow fractionation is utilized to separate them from the erythrocytes. We show that we can extract 95% of the spermatozoa from a sample containing 2.5% spermatozoa, while removing around 90% of the erythrocytes. By adjusting the flow rates, we are able to increase the collection efficiency while slightly sacrificing the purity, tuning the solution for the available sample in the clinic.

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“…The high throughput and better control that microfluidics enables can provide more precise information about microstructures such as cells. [1][2][3][4] Single cell microfluidic analysis is divided into two areas: cell separation and characterization. Many techniques have been developed to sort cells/ particles during the last two decades, from passive methods as pinched and Dean flow fractionation (PFF) and (DFF) respectively, [5][6][7][8] to active methods that use magnetic, [9][10][11] electric 12,13 or acoustic fields 14,15 to push or pull cells/particles or liquids in microfluidic channels.…”

Section: Introductionmentioning

confidence: 99%