Unknown

Dataset Information

0

High-throughput characterisation of bull semen motility using differential dynamic microscopy.


ABSTRACT: We report a high-throughput technique for characterising the motility of spermatozoa using differential dynamic microscopy. A movie with large field of view (?10mm2) records thousands of cells (e.g. ? 5000 cells even at a low cell density of 20 × 106 cells/ml) at once and yields averaged measurements of the mean ([Formula: see text]) and standard deviation (?) of the swimming speed, head oscillation amplitude (A0) and frequency (f0), and the fraction of motile spermatozoa (?). Interestingly, we found that the measurement of ? is facilitated because the swimming spermatozoa enhance the motion of the non-swimming population. We demonstrate the ease and rapidity of our method by performing on-farm characterisation of bull spermatozoa motility, and validate the technique by comparing laboratory measurements with tracking. Our results confirm the long-standing theoretical prediction that [Formula: see text] for swimming spermatozoa.

SUBMITTER: Jepson A 

PROVIDER: S-EPMC6457493 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

High-throughput characterisation of bull semen motility using differential dynamic microscopy.

Jepson Alys A   Arlt Jochen J   Statham Jonathan J   Spilman Mark M   Burton Katie K   Wood Tiffany T   Poon Wilson C K WCK   Martinez Vincent A VA  

PloS one 20190410 4


We report a high-throughput technique for characterising the motility of spermatozoa using differential dynamic microscopy. A movie with large field of view (∼10mm2) records thousands of cells (e.g. ≈ 5000 cells even at a low cell density of 20 × 106 cells/ml) at once and yields averaged measurements of the mean ([Formula: see text]) and standard deviation (σ) of the swimming speed, head oscillation amplitude (A0) and frequency (f0), and the fraction of motile spermatozoa (α). Interestingly, we  ...[more]

Similar Datasets

| S-EPMC3475350 | biostudies-literature
| PRJNA767193 | ENA
| S-EPMC8210814 | biostudies-literature
| S-EPMC4375448 | biostudies-literature
| PRJNA857693 | ENA
| S-EPMC6683748 | biostudies-literature
| S-EPMC8513683 | biostudies-literature
| S-EPMC6994618 | biostudies-literature
| S-EPMC5577322 | biostudies-literature
| S-EPMC2789104 | biostudies-literature