SVIA dataset: A new dataset of microscopic videos and images for computer-aided sperm analysis

Author(s):  
Ao Chen ◽  
Chen Li ◽  
Shuojia Zou ◽  
Md Mamunur Rahaman ◽  
Yudong Yao ◽  
...  
2018 ◽  
Vol 79 (3) ◽  
pp. e12814 ◽  
Author(s):  
Yu Wakimoto ◽  
Atsushi Fukui ◽  
Teruhito Kojima ◽  
Akiko Hasegawa ◽  
Minoru Shigeta ◽  
...  

2017 ◽  
Vol 124 ◽  
pp. 75
Author(s):  
Yu Wakimoto ◽  
Teruhito Kojima ◽  
Akiko Hasegawa ◽  
Atushi Fukui ◽  
Minoru Shigeta ◽  
...  

Author(s):  
Sharon T Mortimer ◽  
Christopher J De Jonge

2018 ◽  
Vol 30 (6) ◽  
pp. 867 ◽  
Author(s):  
M. T. Gallagher ◽  
D. J. Smith ◽  
J. C. Kirkman-Brown

The human semen sample carries a wealth of information of varying degrees of accessibility ranging from the traditional visual measures of count and motility to those that need a more computational approach, such as tracking the flagellar waveform. Although computer-aided sperm analysis (CASA) options are becoming more widespread, the gold standard for clinical semen analysis requires trained laboratory staff. In this review we characterise the key attitudes towards the use of CASA and set out areas in which CASA should, and should not, be used and improved. We provide an overview of the current CASA landscape, discussing clinical uses as well as potential areas for the clinical translation of existing research technologies. Finally, we discuss where we see potential for the future of CASA, and how the integration of mathematical modelling and new technologies, such as automated flagellar tracking, may open new doors in clinical semen analysis.


Andrologia ◽  
2018 ◽  
Vol 50 (10) ◽  
pp. e13141 ◽  
Author(s):  
Farren Hardneck ◽  
Gadieja Israel ◽  
Edmund Pool ◽  
Liana Maree

2018 ◽  
Vol 30 (1) ◽  
pp. 149
Author(s):  
M. L. Mphaphathi ◽  
M. M. Seshoka ◽  
T. R. Netshirovha ◽  
Z. C. Raphalalani ◽  
N. Bovula ◽  
...  

Subjective semen evaluation using standard optical microscopy is the most common practice. Semen parameters routinely assessed are volume, concentration, progressive motility, and morphology. However, computer-aided sperm analysis (CASA) represents an objective evaluation, sperm assessment that are reproducible and reliable. Such semen parameters have not been evaluated in Afrikaner, Brahman, and Bonsmara bulls’ semen. The present study evaluated the sperm motion and kinematics characteristics of semen from stud Afrikaner, Brahman, Bonsmara, and Nguni bulls using CASA technology. The electro-ejaculator was used for semen collection from Afrikaner (n = 11), Brahman (n = 7), Bonsmara (n = 10) and Nguni (n = 16) bulls of known and proven fertility. Semen was collected following 4 days of resting period. The bulls ranged between 5 and 6 years of age. After collection, the semen samples were immediately transferred to a thermo-flask and maintained at 37°C for further evaluation in the mobile laboratory (Nedambale, 2014). The CASA-Sperm Class Analyzer® system (Microptic, Barcelona, Spain) was used to evaluate sperm motion, velocity, and kinematic parameters or characteristics of raw/fresh semen from 4 cattle breeds. Data were analysed using GenStat® statistical programme (VSN International, Hemel Hempstead, United Kingdom). Treatment means were compared using one-way ANOVA. The total sperm motility rate was similar for all breeds: Afrikaner (92.2 ± 4.2), Brahman (90.7 ± 9.0), Bonsmara (93.9 ± 4.0), and Nguni (96.0 ± 2.7). However, Brahman and Afrikaner bull semen had higher sperm cells moving in a progressive motility of 57.3 and 45.6%, respectively, compared with other breeds (P < 0.05). Nguni, Afrikaner, and Bonsmara had the highest sperm cells moving in a rapid movement of 73.7, 72.4, and 67.4% (P > 0.05), respectively. The bulls sperm trajectories had a variation, as they were recorded to be irregular and not linear (P < 0.05). The straight-line sperm velocity (µm s−1), wobbling %, and amplitude of lateral head displacement % was similar for the 4 breeds (P > 0.05). In conclusion, CASA technology was a useful technique for assessing differences in sperm motion and kinematic (motility and velocity characteristics) among different bull breeds.


1993 ◽  
Vol 59 (5) ◽  
pp. 953-955 ◽  
Author(s):  
Russell O. Davis ◽  
David F. Katz

Cryobiology ◽  
2016 ◽  
Vol 72 (3) ◽  
pp. 232-238 ◽  
Author(s):  
Mokgadi Magdelin Seshoka ◽  
Masindi L. Mphaphathi ◽  
Tshimangadzo L. Nedambale

Chemosphere ◽  
2019 ◽  
Vol 214 ◽  
pp. 791-800 ◽  
Author(s):  
Zhen-Zhen Wan ◽  
Heng-Gui Chen ◽  
Wen-Qing Lu ◽  
Yi-Xin Wang ◽  
An Pan

2021 ◽  
Vol 33 (6) ◽  
pp. 437
Author(s):  
S. Prochowska ◽  
W. Niżański

Urethral catheterisation after medetomidine administration is the method of choice for semen collection in cats, but it yields variable results. This study tested whether scrotal manual stimulation can improve urethral sperm collection in domestic cats. The study was performed on 20 male cats, from which two urethral semen samples were collected, one before and one after 2min of transscrotal finger massage of the testes and epididymides. Both sperm samples were assessed for total sperm count and motility using computer-aided sperm analysis, viability and morphology (eosin–nigrosin staining). The transscrotal manual stimulation allowed a significantly higher number of spermatozoa to be obtained (P=0.0015). Viability was similar before and after the stimulation (median 92% and 90.5%), whereas the number of motile (median 60% and 70%) and morphologically normal (median 17% and 30.5%) spermatozoa was higher in the second sample (P=0.03 and P=0.002 respectively), which confirms that transscrotal massage induced the expulsion of a fresh pool of spermatozoa into the urethra. Transscrotal stimulation of the testes and epididymides significantly improves urethral semen collection in domestic cats and can be easily introduced into clinical practice.


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