Multivariate Analyses for Determining the Association of Field Porcine Fertility With Sperm Motion Traits Analysed by Computer-Assisted Semen Analysis and With Sperm Morphology

2013 ◽  
Vol 48 (5) ◽  
pp. 747-754 ◽  
Author(s):  
ABHP Kummer ◽  
TS Gaggini ◽  
ML Bernardi ◽  
C McManus ◽  
EM Gonçales ◽  
...  
Keyword(s):  
Sperm Morphology ◽  
Multivariate Analyses ◽  
Semen Analysis ◽  
Computer Assisted ◽  
Sperm Motion

P–011 Automated sperm morphology assessment using artificial intelligence technology

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
A Agarwal ◽  
M K Panne. Selvam
Keyword(s):  
Artificial Intelligence ◽  
Predictive Value ◽  
Sperm Morphology ◽  
Semen Quality ◽  
Semen Analysis ◽  
Sperm Concentration ◽  
Ease Of Use ◽  
Computer Assisted ◽  
Diagnostic Use ◽  
Normal Sperm

Abstract Study question Can LensHooke X1 PRO semen analyzer be used to evaluate sperm morphology in men with infertility? Summary answer Morphology results generated by X1 PRO are highly reliable when normal sperm forms are ≥4% and therefore they can be reported in such cases . What is known already Most laboratories rely on manual evaluation of sperm morphology smears, which is a time-consuming procedure and its results are subjected to a relatively high variability. However, in recent years the computer-assisted semen analyzers are being increasingly used to evaluate sperm morphology. The X1 PRO semen quality analyzer was designed for in vitro diagnostic use to analyze sperm concentration, total, progressive and non-progressive motility as well as sperm morphology based on WHO 5th edition criteria. Evaluation of sperm morphology using X1 PRO based on AIOM (Artificial Intelligence Optical Microscopic)-based technology requires no fixation steps or staining unlike the manual method. Study design, size, duration This cross-sectional study used 31 semen samples from 8 normozoospermic healthy volunteers and 5 infertile men with a minimum abstinence period between 2 - 3 days. While the 8 healthy semen donors produced a total of 26 ejaculates, which were split into 88 aliquots, the 5 infertile patients produced 5 ejaculates that were split into 13 aliquots. Participants/materials, setting, methods A total of 101 aliquots were prepared from the native semen samples either by dilution or concentration using seminal plasma of the respective donors. Automated semen analysis was performed by the X1 PRO semen analyzer and the results of sperm morphology were compared with manual morphology results using Diff-Quik staining. Statistical analysis was carried out to calculate the positive predictive value (PPV) and negative predictive value (NPV) of X1 PRO semen analyzer. Main results and the role of chance The X1 PRO sperm morphology results show a weak non-significant (P = 0.2441) correlation (r = 0.119) with the manual results. However, X1 PRO demonstrated a high PPV (97.7%) and a low NPV (9.1%) for correct assessment of sperm morphology (≥4%) when compared to manual results. Due to its high PPV, laboratories can report the morphology results generated by X1 PRO in all such cases when normal sperm forms are ≥4%. However, a manual evaluation is necessary in patients with abnormal morphology (<4%). Limitations, reasons for caution One of the limitation of this study is that X1 PRO morphology values did not correlate with manual results. The low NPV seen in our study is due to the inclusion of very few samples with abnormal sperm forms (<4%) in the analysis. Wider implications of the findings: The X1 PRO’s combination of speed, ease of use, accuracy and portability makes it a good choice of device for small medical offices to large IVF centers. High PPV of X1 PRO allows it to correctly identify normal sperm forms for diagnostic use. Trial registration number 18–771

Comparison of normal sperm morphology outcomes from two different computer-assisted semen analysis systems

Andrologia ◽  
2001 ◽  
Vol 33 (3) ◽  
pp. 159-163 ◽  
Author(s):  
K. Coetzee ◽  
N. Bermes ◽  
W. Krause ◽  
R. Menkveld
Keyword(s):  
Sperm Morphology ◽  
Semen Analysis ◽  
Computer Assisted ◽  
Normal Sperm

Влияние биологической полноценности спермы быков-производителей канадской селекции на репродуктивные показатели коров отдельного стада

2017 ◽  
pp. 18-21
Author(s):  
Александр Александрович Некрасов ◽  
Николай Александрович Попов ◽  
Байлар Садраддинович Иолчиев
Keyword(s):  
Semen Analysis ◽  
Computer Assisted

Исследовано влияние качества спермы быков-производителей на репродуктивные показатели стада. Материалом для исследования послужила замороженно-оттаянная сперма быков-производителей канадской селекции (n = 6), которую использовали для осеменения коров и телок на ферме «Дубровицы» ФГУП «Кленово-Чегодаево». Концентрацию и подвижность сперматозоидов оценивали с помощью компьютерной технологии Computer-assisted semen analysis (CASA). Состояние хроматина в сперматозоидах изучали методом акридин-оранжевого теста с флуоресцентной микроскопией. Морфологию и целостность акросом оценивали с использованием Дифф-Квик окраски. Всего на ферме «Дубровицы» плодотворно были осеменены 161 корова и 29 телок, от них получены 180 телят, из них 97 бычков и 83 телки. Установлено, что одним из биотических факторов, влияющих на репродуктивные показатели, является состояние ДНК в хроматине. От степени фрагментации ДНК в хроматине сперматозоидов зависит их оплодотворяющая способность и другие показатели фертильности быков-производителей. Уровень воспроизведения обусловлен репродуктивным потенциалом как коров, так и быков-производителей. Для комплексной оценки качества спермы быков-производителей необходимо использовать компьютерные технологии с привлечением максимального числа показателей, в том числе наследственного материала, содержащегося в сперматозоидах. Целесообразно при оценке быков-производителей вести учет благополучия отелов, выбытия коров после патологических отелов, абортов, мертворождаемости. Благополучие отелов способствует увеличению сроков последующего производственного использования коров, осемененных спермой быков-производителей, характеризующихся легкими отелами. Для достоверной оценки биологической полноценности спермы необходимо использовать дополнительный показатель, а именно степень фрагментации ДНК в хроматине. У быков-производителей с высокой степенью фрагментации ДНК получены низкие результаты оплодотворяемости.

Effect of separate and combined exposure of selenium and diazinon on rat sperm motility by computer assisted semen analysis

2016 ◽  
Vol 38 ◽  
pp. 144-149 ◽  
Author(s):  
Robert Toman ◽  
Svatoslav Hluchy ◽  
Michal Cabaj ◽  
Peter Massanyi ◽  
Shubhadeep Roychoudhury ◽  
...  
Keyword(s):  
Sperm Motility ◽  
Semen Analysis ◽  
Computer Assisted ◽  
Combined Exposure

Cysteamine supplementation revealed detrimental effect on cryosurvival of buffalo sperm based on computer-assisted semen analysis and oxidative parameters

2017 ◽  
Vol 177 ◽  
pp. 56-64 ◽  
Author(s):  
Dheer Singh Swami ◽  
Pradeep Kumar ◽  
R.K. Malik ◽  
Monika Saini ◽  
Dharmendra Kumar ◽  
...  
Keyword(s):  
Detrimental Effect ◽  
Semen Analysis ◽  
Computer Assisted

scholarly journals Assessment of Sperm Quality - A Light Microscope Study

2021 ◽  
Vol 10 (19) ◽  
pp. 1417-1421
Author(s):  
Jyothi A. Raj ◽  
Heera Sankar ◽  
Sagarika Mahapatra ◽  
Ashima Binny
Keyword(s):  
Light Microscope ◽  
Sperm Morphology ◽  
Clinical Laboratory ◽  
Sperm Quality ◽  
Semen Analysis ◽  
Complete Evaluation ◽  
Normal Sperm ◽  
Middle Piece ◽  
Sperm Counts ◽  
Work Up

BACKGROUND Semen analysis is an integral part of work up for infertility in men, with sperm morphology being an important qualitative parameter. Qualitative defects can affect any part of the sperm and are classified as defects in the head, middle piece, and tail, based on morphology. The focus of the study was to assess qualitative defects in sperms by light microscopy, in semen with normal sperm counts. METHODS This study is hospital based, descriptive, retrospective study. Of the semen samples received in the clinical laboratory, fifty with normal sperm counts were included in the study and processed according to standard protocol. For evaluation of qualitative defects by sperm morphology, smears were fixed in ethanol, stained with Papanicolaou stain [PAP], and assessed under light microscope. RESULTS The 50 semen samples included in the study had sperm counts ranging from 15 to 80 million / ml. Thirty samples had less than 10 % abnormal forms, fourteen samples had 11 - 20 % abnormal forms, five samples had 21 - 30 % abnormal forms and one sample had 40 % abnormal sperms. Qualitative defects were classified as morphological abnormalities in head, neck, and tail. Of the fifty cases, most defects were found in the head, followed by those in the neck and tail. Common defects noted were double head (44 %), abnormal sized heads, and bent neck (48 %). Coiling was a common defect noted in the tail (10 %). Most sperms showed a combination of defects. CONCLUSIONS Qualitative defects in sperm morphology are often seen in samples with normal sperm counts. Assessment of microscopic characteristics of human spermatozoa is as important as count and motility in the complete evaluation and work-up of semen samples in cases of infertility. KEY WORDS Semen, Sperm, Quality, Microscopy, Morphology

scholarly journals iTRAQ-Based Sperm Proteomic Analyses Reveals Candidate Proteins Affecting the Quality of Spermatozoa From Boar on Plateaus

2020 ◽  
Author(s):  
Yanling Zhao ◽  
Yaomei Wang ◽  
Feipeng Guo ◽  
Bo Lu ◽  
Jiale Sun ◽  
...  
Keyword(s):  
Western Blot ◽  
Cellular Response ◽  
Sperm Quality ◽  
Semen Analysis ◽  
Estrogen Signaling ◽  
Glutathione Metabolism ◽  
Computer Assisted ◽  
Expression Levels ◽  
Relative Expression

Abstract Background: Tibetan pigs (TP) exhibit heritable adaptations to their hypoxic environments as a result of natural selection. Whereas, what candidate proteins affecting the sperm quality of boar on plateaus has not been clearly investigated yet. Methods: In this study, to reveal the candidate proteins affecting the quality of spermatozoa from boar on plateaus, we analyzed the sperm quality by Computer-assisted semen analysis (CASA) system and Reactive oxygen species (ROS) levels, compared the sperm proteomes between TP and Yorkshire pigs (YP) raised at high altitudes using the isobaric tags for relative and absolute quantitation (iTRAQ) in combination with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic method, and confirmed the relative expression levels of the four proteins by western blot. Results: The sperm quality of the TP was superior to that of the YP on plateaus. Of 1,555 quantified proteins, 318 differentially expressed proteins (DEPs) were identified. Gene ontology (GO) analysis revealed that the DEPs were predominantly associated with the sorbitol metabolic process, removal of superoxide radicals, cellular response to superoxide, response to superoxide and regulation of the mitotic spindle assembly. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were mainly enriched in pathways involved in the regulation of the actin cytoskeleton, glutathione metabolism, oxidative phosphorylation, and estrogen signaling. And based on the protein-protein interaction (PPI) network analysis, we identified 8 candidate proteins (FN1, EGF, HSP90B1, CFL1, GPX4, NDUFA6, VDAC2, and CP) that might play important roles that affect the sperm quality of boar on plateaus. Moreover, the relative expression levels of the proteins (CFL1, EGF, FN1, and GPX4) were confirmed by western blot. Conclusions: Our results reveal 8 candidate proteins (FN1, EGF, HSP90B1, CFL1, GPX4, NDUFA6, VDAC2, and CP) affecting the sperm quality of boar on plateaus, providing a reference for studies on improving sperm quality and the molecular breeding of boar on plateaus.

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