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INVITED OPINION

The future of computer-aided sperm analysis

Mortimer Sharon T, Horst Gerhard van der, Mortimer David

Year : 2015| Volume: 17| Issue : 4 | Page no: 545-553

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1 SVIA dataset: A new dataset of microscopic videos and images for computer-aided sperm analysis
Ao Chen, Chen Li, Shuojia Zou, Md Mamunur Rahaman, Yudong Yao, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Marcin Grzegorzek
Biocybernetics and Biomedical Engineering. 2022;
[Pubmed]  [Google Scholar] [DOI]
2 Extended semen examinations in the sixth edition of the World Health Organization manual on semen analysis: contributing to the understanding of the function of the male reproductive system
Elisabetta Baldi, Meurig T. Gallagher, Stepan Krasnyak, Jackson Kirkman-Brown, Oleg Apolikhin, Christopher L.R. Barratt, Mario P. Festin, James Kiarie, Dolores J. Lamb, Michael Mbizvo, Stefan Schlatt, Igor Toskin, Christina Wang
Fertility and Sterility. 2022;
[Pubmed]  [Google Scholar] [DOI]
3 motilitAI: A machine learning framework for automatic prediction of human sperm motility
Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Björn W. Schuller
iScience. 2022; 25(8): 104644
[Pubmed]  [Google Scholar] [DOI]
4 Effect of staining methods on human sperm morphometrics using HT CASA II
Jirattikan Chaiya, Nipattha Vinayanuvattikhun, Chamnan Tanprasertkul, Tanyawan Chaidarun, Titichaya Mebuathong, Chollanot Kaset
Journal of Gynecology Obstetrics and Human Reproduction. 2022; : 102322
[Pubmed]  [Google Scholar] [DOI]
5 Future of Male Infertility Evaluation and Treatment: Brief Review of Emerging Technology
Kevin Y. Chu, Parris Diaz, Alexandra Dullea, John Zizzo, Justin Loloi, Rohit Reddy, Philip S. Li, Ranjith Ramasamy
Urology. 2022;
[Pubmed]  [Google Scholar] [DOI]
6 Advanced molecular approaches in male infertility diagnosis
A Botezatu, S Vladoiu, A Fudulu, A Albulescu, A Plesa, A Muresan, C Stancu, I V Iancu, C C Diaconu, A Velicu, O M Popa, C Badiu, D Dinu-Draganescu
Biology of Reproduction. 2022;
[Pubmed]  [Google Scholar] [DOI]
7 Assessing coral sperm motility
Nikolas Zuchowicz,Jonathan Daly,Jessica Bouwmeester,Claire Lager,E. Michael Henley,C. Isabel Nuńez Lendo,Mary Hagedorn
Scientific Reports. 2021; 11(1)
[Pubmed]  [Google Scholar] [DOI]
8 Innovative approaches to breeding in the dairy industry
K V Titorenko,K A Zhichkin
IOP Conference Series: Earth and Environmental Science. 2021; 723(3): 032003
[Pubmed]  [Google Scholar] [DOI]
9 Artificial intelligence in the fertility clinic: status, pitfalls and possibilities
M A Riegler,M H Stensen,O Witczak,J M Andersen,S A Hicks,H L Hammer,E Delbarre,P Halvorsen,A Yazidi,N Holst,T B Haugen
Human Reproduction. 2021;
[Pubmed]  [Google Scholar] [DOI]
10 Comparing accuracy of fish sperm motility measurements obtained from two computational extremes in tracking approaches: Nearest neighbor and multiple hypothesis tracking
Giovano Neumann,Jurandir Joaquim Bernardes Junior,Valdecir Neumann,Robie Allan Bombardelli
Reproduction in Domestic Animals. 2021;
[Pubmed]  [Google Scholar] [DOI]
11 Cementing the relationship between conventional and advanced semen parameters
Bashir M. Ayad,Ibukun P. Oyeyipo,Gerhard Van der Horst,Stefan S. Du Plessis
Middle East Fertility Society Journal. 2021; 26(1)
[Pubmed]  [Google Scholar] [DOI]
12 Long-term segmentation-free assessment of head–flagellum movement and intracellular calcium in swimming human sperm
Gabriel Corkidi,Paul Hernández-Herrera,Fernando Montoya,Hermes Gadęlha,Alberto Darszon
Journal of Cell Science. 2021; 134(3): jcs250654
[Pubmed]  [Google Scholar] [DOI]
13 RAC1 controls progressive movement and competitiveness of mammalian spermatozoa
Alexandra Amaral,Bernhard G. Herrmann,Moira K. OćBryan
PLOS Genetics. 2021; 17(2): e1009308
[Pubmed]  [Google Scholar] [DOI]
14 Fertilization potential test of sperm from nano monoclonal antibody injected goats
Shuai Liu,Mingzhe Fu,Xiaofang Han,Song Hua
Small Ruminant Research. 2021; 202: 106458
[Pubmed]  [Google Scholar] [DOI]
15 Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images
Manoj Kumar Kanakasabapathy,Prudhvi Thirumalaraju,Hemanth Kandula,Fenil Doshi,Anjali Devi Sivakumar,Deeksha Kartik,Raghav Gupta,Rohan Pooniwala,John A. Branda,Athe M. Tsibris,Daniel R. Kuritzkes,John C. Petrozza,Charles L. Bormann,Hadi Shafiee
Nature Biomedical Engineering. 2021;
[Pubmed]  [Google Scholar] [DOI]
16 Multi-Model CNN Fusion for Sperm Morphology Analysis
Mecit Yüzkat,Hamza Osman Ilhan,Nizamettin Aydin
Computers in Biology and Medicine. 2021; : 104790
[Pubmed]  [Google Scholar] [DOI]
17 Comparison of two automated sperm analyzers using 2 different detection methods versus manual semen assessment
Jenna Lammers,Sana Chtourou,Arnaud Reignier,Sophie Loubersac,Paul Barričre,Thomas Fréour
Journal of Gynecology Obstetrics and Human Reproduction. 2021; : 102084
[Pubmed]  [Google Scholar] [DOI]
18 Status of Sperm Functionality Assessment in Wildlife Species: From Fish to Primates
Gerhard van der Horst
Animals. 2021; 11(6): 1491
[Pubmed]  [Google Scholar] [DOI]
19 Simplified sperm testing devices: a possible tool to overcome lack of accessibility and inconsistency in male factor infertility diagnosis. An opportunity for low- and middle- income countries.
J. Onofre,L. Geenen,A. Cox,I. Van der Auwera,F. Willendrup,E. Anderssen,R. Campo,N. Dhont,W. Ombelet
Facts, Views and Vision in ObGyn. 2021; 13(1): 95
[Pubmed]  [Google Scholar] [DOI]
20 Clinical Update on Home Testing for Male Fertility
Daniel Gonzalez, Manish Narasimman, Jordan C. Best, Jesse Ory, Ranjith Ramasamy
The World Journal of Men's Health. 2021; 39(4): 615
[Pubmed]  [Google Scholar] [DOI]
21 Validation of LensHooke® X1 PRO and Computer-Assisted Semen Analyzer Compared with Laboratory-Based Manual Semen Analysis
Ashok Agarwal, Manesh Kumar Panner Selvam, Rafael F. Ambar
The World Journal of Men's Health. 2021; 39(3): 496
[Pubmed]  [Google Scholar] [DOI]
22 Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
Luis Víquez,Vinicio Barquero,Carles Soler,Eduardo R.S. Roldan,Anthony Valverde
Biology. 2020; 9(6): 138
[Pubmed]  [Google Scholar] [DOI]
23 Deep Learning-Based Morphological Classification of Human Sperm Heads
Imran Iqbal,Ghulam Mustafa,Jinwen Ma
Diagnostics. 2020; 10(5): 325
[Pubmed]  [Google Scholar] [DOI]
24 Melatonin Non-Linearly Modulates Bull Spermatozoa Motility and Physiology in Capacitating and Non-Capacitating Conditions
Estela Fernández-Alegre,Indira Álvarez-Fernández,Juan Carlos Domínguez,Adriana Casao,Felipe Martínez-Pastor
International Journal of Molecular Sciences. 2020; 21(8): 2701
[Pubmed]  [Google Scholar] [DOI]
25 ??????? ???????????????? ??????? ?? ??????????????????? ?????????????? ?????????????? ?????? ??????????????? ???????? ?? ?????? ??????? «???? ? ????»
?.?. ???????, ?.?. ????????, ?.?. ????????, ?.?. ???????????, ?.?. ????????, ?.?. ????????
Reproductive Medicine. 2020; (3(44)): 59
[Pubmed]  [Google Scholar] [DOI]
26 A phenotypic screening platform utilising human spermatozoa identifies compounds with contraceptive activity
Franz S Gruber,Zoe C Johnston,Christopher LR Barratt,Paul D Andrews
eLife. 2020; 9
[Pubmed]  [Google Scholar] [DOI]
27 Sperm motility analysis system implemented on a hybrid architecture to produce an intelligent analyzer
Osman Levent Savkay,Müstak E. Yalçin,Vedat Tavsanoglu
Informatics in Medicine Unlocked. 2020; : 100324
[Pubmed]  [Google Scholar] [DOI]
28 Use of antioxidant could ameliorate the negative impact of etoposide on human sperm DNA during chemotherapy
Ana Rabaça,Carolina Ferreira,Raquel Bernardino,Marco Alves,Pedro Oliveira,Paulo Viana,Alberto Barros,Mário Sousa,Rosália Sá
Reproductive BioMedicine Online. 2020;
[Pubmed]  [Google Scholar] [DOI]
29 Automated sperm morphology analysis approach using a directional masking technique
Hamza Osman Ilhan,Gorkem Serbes,Nizamettin Aydin
Computers in Biology and Medicine. 2020; : 103845
[Pubmed]  [Google Scholar] [DOI]
30 Motile sperm subpopulations in bull semen using different clustering approaches – associations with flow cytometric sperm characteristics and fertility
Iulian Ibanescu (Ibanescu),Mathias Siuda,Heinrich Bollwein
Animal Reproduction Science. 2020; : 106329
[Pubmed]  [Google Scholar] [DOI]
31 Computer Aided Sperm Analysis (CASA) in domestic animals: Current status, three D tracking and flagellar analysis
Gerhard van der Horst
Animal Reproduction Science. 2020; : 106350
[Pubmed]  [Google Scholar] [DOI]
32 Methodological considerations for examining the relationship between sperm morphology and motility
Kristin A. Hook,Heidi S. Fisher
Molecular Reproduction and Development. 2020;
[Pubmed]  [Google Scholar] [DOI]
33 Effect of fans and showers on the physiological measures and reproductive performance of Holstein Friesian bulls during subtropical summer
Mahboob Ahmed Butt,Jalees Ahmed Bhatti,Anjum Khalique,Muhammad Qamer Shahid
Tropical Animal Health and Production. 2020;
[Pubmed]  [Google Scholar] [DOI]
34 Male infertility
Ashok Agarwal,Saradha Baskaran,Neel Parekh,Chak-Lam Cho,Ralf Henkel,Sarah Vij,Mohamed Arafa,Manesh Kumar Panner Selvam,Rupin Shah
The Lancet. 2020;
[Pubmed]  [Google Scholar] [DOI]
35 Evaluation of porcine semen quality by portable and desktop CASA systems – Short communication
Eszter Balogh,Anna Boglárka Dálnoki,László Rózsa,Viktória Johanna Debnár,Orsolya Varga-Balogh,József Rátky,Attila Zsolnai,István Anton
Acta Veterinaria Hungarica. 2020; 68(2): 197
[Pubmed]  [Google Scholar] [DOI]
36 Hypotonic challenge reduces human sperm motility through coiling and folding of the tail
Emma Holmes,Lars Björndahl,Ulrik Kvist
Andrologia. 2020;
[Pubmed]  [Google Scholar] [DOI]
37 Computer-assisted beat-pattern analysis and the flagellar waveforms of bovine spermatozoa
Benjamin J. Walker,Shiva Phuyal,Kenta Ishimoto,Chih-Kuan Tung,Eamonn A. Gaffney
Royal Society Open Science. 2020; 7(6): 200769
[Pubmed]  [Google Scholar] [DOI]
38 An age-based sperm nomogram: the McGill reference guide
Mali Salmon-Divon,Guy Shrem,Jacques Balayla,Tamar Nehushtan,Alexander Volodarsky-Perel,Naama Steiner,Weon-Young Son,Michael H Dahan
Human Reproduction. 2020;
[Pubmed]  [Google Scholar] [DOI]
39 Testis developmental related gene 1 (TDRG1) encodes a progressive motility-associated protein in human spermatozoa
Houyang Chen,Liang Tang,Qing Hong,Tingting Pan,Shiqi Weng,Jie Sun,Qiongfang Wu,Xuhui Zeng,Yuxin Tang,Tao Luo
Human Reproduction. 2020;
[Pubmed]  [Google Scholar] [DOI]
40 Bovine Sperm Sexing Alters Sperm Morphokinetics and Subsequent Early Embryonic Development
H. Steele,D. Makri,W. E. Maalouf,S. Reese,S. Kölle
Scientific Reports. 2020; 10(1)
[Pubmed]  [Google Scholar] [DOI]
41 Comparison of commercially available chamber slides for computer-aided analysis of human sperm
Fereshteh Dardmeh,Mahmoud Heidari,Hiva Alipour
Systems Biology in Reproductive Medicine. 2020; : 1
[Pubmed]  [Google Scholar] [DOI]
42 Can the Sperm Class Analyser (SCA) CASA-Mot system for human sperm motility analysis reduce imprecision and operator subjectivity and improve semen analysis?
Chey Dearing,Channa Jayasena,Kevin Lindsay
Human Fertility. 2019; : 1
[Pubmed]  [Google Scholar] [DOI]
43 An update on boar semen assessments by flow cytometry and CASA
Gry Brandt Boe-Hansen,Nana Satake
Theriogenology. 2019;
[Pubmed]  [Google Scholar] [DOI]
44 A high-throughput method for unbiased quantitation and categorization of nuclear morphology†
Benjamin Matthew Skinner,Claudia Cattoni Rathje,Joanne Bacon,Emma Elizabeth Philippa Johnson,Erica Lee Larson,Emily E K Kopania,Jeffrey Martin Good,Gullalaii Yousafzai,Nabeel Ahmed Affara,Peter James Ivor Ellis
Biology of Reproduction. 2019;
[Pubmed]  [Google Scholar] [DOI]
45 Robotic Immobilization of Motile Sperm for Clinical Intracytoplasmic Sperm Injection
Zhuoran Zhang, Changsheng Dai, James Huang, Xian Wang, Jun Liu, Changhai Ru, Huayan Pu, Shaorong Xie, Junyan Zhang, Sergey Moskovtsev, Clifford Librach, Keith Jarvi, Yu Sun
IEEE Transactions on Biomedical Engineering. 2019; 66(2): 444
[Pubmed]  [Google Scholar] [DOI]
46 The current status and future of andrology: A consensus report from the Cairo workshop group
Andrology. 2019;
[Pubmed]  [Google Scholar] [DOI]
47 Computer-aided sperm analysis, the new key player in routine sperm assessment
Benoit Schubert,Mélanie Badiou,André Force
Andrologia. 2019;
[Pubmed]  [Google Scholar] [DOI]
48 Validation of a portable device (iSperm ® ) for the assessment of stallion sperm motility and concentration
Pouya Dini,Lucas Troch,Isabel Lemahieu,Peter Deblende,Peter Daels
Reproduction in Domestic Animals. 2019; 54(8): 1113
[Pubmed]  [Google Scholar] [DOI]
49 A collective tracking method for preliminary sperm analysis
Sung-Yang Wei,Hsuan-Hao Chao,Han-Ping Huang,Chang Francis Hsu,Sheng-Hsiang Li,Long Hsu
BioMedical Engineering OnLine. 2019; 18(1)
[Pubmed]  [Google Scholar] [DOI]
50 Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Steven A. Hicks,Jorunn M. Andersen,Oliwia Witczak,Vajira Thambawita,Pĺl Halvorsen,Hugo L. Hammer,Trine B. Haugen,Michael A. Riegler
Scientific Reports. 2019; 9(1)
[Pubmed]  [Google Scholar] [DOI]
51 Development and prospects of microfluidic platforms for sperm inspection
Zhihao Zhou,Yuejun Kang,Zhigang Xu,Peng Xue
Analytical Methods. 2019;
[Pubmed]  [Google Scholar] [DOI]
52 Automatic directional masking technique for better sperm morphology segmentation and classification analysis
H.O. Ilhan,G. Serbes,N. Aydin
Electronics Letters. 2019;
[Pubmed]  [Google Scholar] [DOI]
53 Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
Fateme Mostajer Kheirkhah,Hamid Reza Sadegh Mohammadi,Abdolhossein Shahverdi
IET Computer Vision. 2019;
[Pubmed]  [Google Scholar] [DOI]
54 Morphometry of Sperm Head in Rats Treated with an Antifungal Medication
N. V. Zaitseva,M. A. Zemlyanova,Yu. V. Kol’dibekova,A. M. Ignatova,I. V. Mashevskaya
Bulletin of Experimental Biology and Medicine. 2019;
[Pubmed]  [Google Scholar] [DOI]
55 Effect of fat supplementation on physiological and reproductive performance of Holstein Friesian bulls during summer
Mahboob Ahmed Butt,Jalees Ahmed Bhatti,Anjum Khalique,Muhammad Qamer Shahid
Tropical Animal Health and Production. 2019;
[Pubmed]  [Google Scholar] [DOI]
56 Ostrich specific semen diluent and sperm motility characteristics during in vitro storage
A.M.J. Smith,M. Bonato,K. Dzama,I.A. Malecki,S.W.P. Cloete
Animal Reproduction Science. 2018;
[Pubmed]  [Google Scholar] [DOI]
57 Estudio «in vitro» de la influencia de la osmolaridad del plasma seminal en la morfología del espermatozoide
Guillermo Tarrasó,Sílvia Bérgamo,Clara Ramírez,Pilar Felipe,Pilar Planells,Carlos Aulesa
Medicina Reproductiva y Embriología Clínica. 2018;
[Pubmed]  [Google Scholar] [DOI]
58 CASA: tracking the past and plotting the future
M. T. Gallagher,D. J. Smith,J. C. Kirkman-Brown
Reproduction, Fertility and Development. 2018; 30(6): 867
[Pubmed]  [Google Scholar] [DOI]
59 CASA-Mot in mammals: an update
J. L. Yániz,M. A. Silvestre,P. Santolaria,C. Soler
Reproduction, Fertility and Development. 2018; 30(6): 799
[Pubmed]  [Google Scholar] [DOI]
60 Current perspectives of CASA applications in diverse mammalian spermatozoa
Gerhard van der Horst,Liana Maree,Stefan S. du Plessis
Reproduction, Fertility and Development. 2018; 30(6): 875
[Pubmed]  [Google Scholar] [DOI]
61 CASA in invertebrates
Gerhard van der Horst,Monique Bennett,John D. D. Bishop
Reproduction, Fertility and Development. 2018; 30(6): 907
[Pubmed]  [Google Scholar] [DOI]
62 Evaluation of sperm motility with CASA-Mot: which factors may influence our measurements?
Marc Yeste,Sergi Bonet,Joan E. Rodríguez-Gil,Maria M. Rivera Del Álamo
Reproduction, Fertility and Development. 2018; 30(6): 789
[Pubmed]  [Google Scholar] [DOI]
63 CASA-Mot technology: how results are affected by the frame rate and counting chamber
Daznia Bompart,Almudena García-Molina,Anthony Valverde,Carina Caldeira,Jesús Yániz,Manuel Núńez de Murga,Carles Soler
Reproduction, Fertility and Development. 2018; 30(6): 810
[Pubmed]  [Google Scholar] [DOI]
64 Evaluation of cockerel spermatozoa viability and motility by a novel enzyme based cell viability assay
H. L. Lin,R. B. Liaw,Y. H. Chen,T. C. Kang,D. Y. Lin,L. R. Chen,M. C. Wu
British Poultry Science. 2018; : 1
[Pubmed]  [Google Scholar] [DOI]
65 Spermogramme et spermocytogramme manuels et automatisés-Test de migration-survie
Jessika Moreau,Arnaud Reignier,Roger Leandri,Jean Parinaud,Thomas Fréour,Nicolas Gatimel
Revue Francophone des Laboratoires. 2018; 2018(504): 28
[Pubmed]  [Google Scholar] [DOI]
66 Review: Historical and futuristic developments in bovine semen technology
P. Lonergan
animal. 2018; : 1
[Pubmed]  [Google Scholar] [DOI]
67 Label-free 3D computational imaging of spermatozoon locomotion, head spin and flagellum beating over a large volume
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
Light: Science & Applications. 2018; 7(1): 17121
[Pubmed]  [Google Scholar] [DOI]
68 Evaluation of a portable device for assessment of motility in stallion semen
Tammo Buss,Jörg Aurich,Christine Aurich
Reproduction in Domestic Animals. 2018;
[Pubmed]  [Google Scholar] [DOI]
69 Quantitative assessment of heavy metal effects on sperm function using computer-aided sperm analysis and cytotoxicity assays
Farren Hardneck,Gadieja Israel,Edmund Pool,Liana Maree
Andrologia. 2018; : e13141
[Pubmed]  [Google Scholar] [DOI]
70 Automated semen analysis by SQA Vision® versus the manual approach-A prospective double-blind study
Kathrin M. Engel,Sonja Grunewald,Jürgen Schiller,Uwe Paasch
Andrologia. 2018; : e13149
[Pubmed]  [Google Scholar] [DOI]
71 Microscopic analysis of sperm movement: links to mechanisms and protein components
Kazuo Inaba,Kogiku Shiba
Microscopy. 2018; 67(3): 144
[Pubmed]  [Google Scholar] [DOI]
72 The functional anatomy of the human spermatozoon: relating ultrastructure and function
David Mortimer
MHR: Basic science of reproductive medicine. 2018;
[Pubmed]  [Google Scholar] [DOI]
73 New Insight into Sperm Capacitation: A Novel Mechanism of 17ß-Estradiol Signalling
Tereza Bosakova,Antonin Tockstein,Natasa Sebkova,Ondrej Simonik,Hana Adamusova,Jana Albrechtova,Tomas Albrecht,Zuzana Bosakova,Katerina Dvorakova-Hortova
International Journal of Molecular Sciences. 2018; 19(12): 4011
[Pubmed]  [Google Scholar] [DOI]
74 Lactobacillus rhamnosus PB01 (DSM 14870) supplementation affects markers of sperm kinematic parameters in a diet-induced obesity mice model
Fereshteh Dardmeh,Hiva Alipour,Parisa Gazerani,Gerhard van der Horst,Erik Brandsborg,Hans Ingolf Nielsen,Barbara Fam
PLOS ONE. 2017; 12(10): e0185964
[Pubmed]  [Google Scholar] [DOI]
75 Association between obesity and sperm quality
G. A. Ramaraju,S. Teppala,K. Prathigudupu,M. Kalagara,S. Thota,M. Kota,R. Cheemakurthi
Andrologia. 2017; : e12888
[Pubmed]  [Google Scholar] [DOI]
76 Relationship between Porcine Sperm Motility and Sperm Enzymatic Activity using Paper-based Devices
Koji Matsuura,Han-Wei Huang,Ming-Cheng Chen,Yu Chen,Chao-Min Cheng
Scientific Reports. 2017; 7: 46213
[Pubmed]  [Google Scholar] [DOI]
77 Computational imaging of sperm locomotion
Mustafa Ugur Daloglu,Aydogan Ozcan
Biology of Reproduction. 2017;
[Pubmed]  [Google Scholar] [DOI]
78 CASAnova: a multiclass support vector machine model for the classification of human sperm motility patterns†
Summer G Goodson,Sarah White,Alicia M Stevans,Sanjana Bhat,Chia-Yu Kao,Scott Jaworski,Tamara R Marlowe,Martin Kohlmeier,Leonard McMillan,Steven H Zeisel,Deborah A O’Brien
Biology of Reproduction. 2017;
[Pubmed]  [Google Scholar] [DOI]
79 Appraisal and standardization of curvilinear velocity (VCL) cut-off values for CASA analysis of Japanese quail (Coturnix japonica ) sperm
U Farooq,IA Malecki,M Mahmood,GB Martin
Reproduction in Domestic Animals. 2017;
[Pubmed]  [Google Scholar] [DOI]
80 Effects of Chronic Musculoskeletal Pain on Fertility Potential in Lean and Overweight Male Patients
Fereshteh Dardmeh,Hiva Alipour,Hans Ingolf Nielsen,Sten Rasmussen,Parisa Gazerani
Pain Research and Management. 2017; 2017: 1
[Pubmed]  [Google Scholar] [DOI]
81 Effect of Exogenous Melatonin Treatment on the Reproductive Characteristics and Progeny of Male Rats Exposed to Different Periods From Light and Darkness
K. A. A. MAJRASHI,I. A. H. BARAKAT,A. R. AL-HIMAIDI,K. G. ADHAM
Physiological Research. 2017; : 507
[Pubmed]  [Google Scholar] [DOI]
82 Synergetic Effects of K, Ca, Cu and Zn in Human Semen in Relation to Parameters Indicative of Spontaneous Hyperactivation of Spermatozoa
Ivan Bolanca,Jasmina Obhodas,Dejan Ljiljak,Lidija Matjacic,Krunoslav Kuna,Agustín Guerrero-Hernandez
PLOS ONE. 2016; 11(3): e0152445
[Pubmed]  [Google Scholar] [DOI]
83 Use of Aloe vera–based extender for chilling and freezing collared peccary (Pecari tajacu) semen
A.L.P. Souza,G.L. Lima,G.C.X. Peixoto,A.M. Silva,M.F. Oliveira,A.R. Silva
Theriogenology. 2016;
[Pubmed]  [Google Scholar] [DOI]
84 Percentage of motile spermatozoa at 22 hours after swim-up procedure: An indicator for intracytoplasmic sperm injection?
Taketo Inoue,Yukiko Yonezawa,Hironobu Sugimoto,Mikiko Uemura,Yuri Ono,Junji Kishi,Nobuyuki Emi,Yoshiyuki Ono
Clinical and Experimental Reproductive Medicine. 2016; 43(3): 157
[Pubmed]  [Google Scholar] [DOI]

 

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