Literature DB >> 27281780

Spermometer: electrical characterization of single boar sperm motility.

Bjorn de Wagenaar1, Daan J Geijs1, Hans de Boer1, Johan G Bomer1, Wouter Olthuis1, Albert van den Berg1, Loes I Segerink2.   

Abstract

OBJECTIVE: To study single sperm boar motility using electrical impedance measurements in a microfluidic system.
DESIGN: Comparison of the optical data and electrical impedance data.
SETTING: Research laboratory at a university. ANIMAL(S): Boar semen sample were used. INTERVENTION(S): A microfluidic system is developed that is able to spatially confine single boar sperm cells and allows noninvasive analysis of their motility on the single cell level. Using this system, the single sperm motility was affected by changing the temperature or adding chemical stimuli (caffeine). The retrieved electrical impedance and video data were processed using Matlab. MAIN OUTCOME MEASURE(S): The sperm beat frequency and amplitude determined from the electrical impedance and video data. RESULT(S): The electrically measured sperm beat frequency was verified by optical analysis and in correspondence. Furthermore the microfluidic platform allowed single sperm analysis by altering the sperm by temperature and chemical stimuli. CONCLUSION(S): This platform could be exploited as a potential tool to study sperm cells on the single cell level and to perform advanced sperm selection for intracytoplasmic sperm injection (ICSI) applications.
Copyright © 2016 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Microfluidic platform; cell trapping; impedance sensing; single sperm analysis; sperm motility

Mesh:

Substances:

Year:  2016        PMID: 27281780     DOI: 10.1016/j.fertnstert.2016.05.008

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  5 in total

1.  Rapid sperm capture: high-throughput flagellar waveform analysis.

Authors:  M T Gallagher; G Cupples; E H Ooi; J C Kirkman-Brown; D J Smith
Journal:  Hum Reprod       Date:  2019-07-08       Impact factor: 6.918

Review 2.  Microfluidics for sperm analysis and selection.

Authors:  Reza Nosrati; Percival J Graham; Biao Zhang; Jason Riordon; Alexander Lagunov; Thomas G Hannam; Carlos Escobedo; Keith Jarvi; David Sinton
Journal:  Nat Rev Urol       Date:  2017-10-31       Impact factor: 14.432

Review 3.  Machine learning for sperm selection.

Authors:  Jae Bem You; Christopher McCallum; Yihe Wang; Jason Riordon; Reza Nosrati; David Sinton
Journal:  Nat Rev Urol       Date:  2021-05-17       Impact factor: 14.432

4.  Real-Time Single Cell Monitoring: Measurement and Counting of Motile Sperm Using LCR Impedance-Integrated Microfluidic Device.

Authors:  Chalinee Phiphattanaphiphop; Komgrit Leksakul; Rungrueang Phatthanakun; Apirak Suthummapiwat
Journal:  Micromachines (Basel)       Date:  2019-09-26       Impact factor: 2.891

Review 5.  Sperm Selection for ICSI: Do We Have a Winner?

Authors:  Domenico Baldini; Daniele Ferri; Giorgio Maria Baldini; Dario Lot; Assunta Catino; Damiano Vizziello; Giovanni Vizziello
Journal:  Cells       Date:  2021-12-17       Impact factor: 6.600

  5 in total

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