Motility Analysis with Morphology: Study Related to Human Sperm

Maggavi, Raghavendra; Pujari, Sanjay A.; C.N, Vijaykumar

doi:10.1016/j.procs.2019.05.041

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Therefore, the determination of the level of liveliness of sperm can be seen from two features [27] [28], which are the speed of movement and the pattern of movement. To get these two features, spermatozoa motility analysis is conducted, which includes motility tracking such as movement, speed, and trajectory of spermatozoa [29]. Spermatozoa motility tracking produces position information [30] using algorithms that require high-performance computer.…”

Section: Introductionmentioning

confidence: 99%

Abnormality Determination of Spermatozoa Motility Using Gaussian Mixture Model and Matching-based Algorithm

Mas Diyasa,

Saputra,

Gunawan

et al. 2024

Journal of Robotics and Control

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Sperm analysis is an initial step in the examination conducted to identify infertility cases in humans. One aspect of sperm analysis involves observing the movement of spermatozoa and determining whether it is normal or abnormal. Normal spermatozoa movement is characterized by progressive motion at an average speed of 20 µm/second, while abnormal movement includes slow or non-motile spermatozoa. Traditional methods can be employed to assess the normality or abnormality of sperm movement, but they have drawbacks such as time-consuming procedures and diverse results depending on the expertise of the examiner. On the other hand, utilizing Computer-Assisted Sperm Analysis (CASA) equipment provides consistent results, albeit at a relatively high cost. Therefore, this research proposes an alternative method for determining sperm movement abnormalities using the Gaussian Mixture Model (GMM) for background subtraction and a matching-based algorithm to track and analyze the formed trajectories, distinguishing between normal and abnormal sperm movement. Human spermatozoa in real-time are used, and their movements are recorded in video format using a bright field microscope. The testing results for determining sperm movement abnormalities based on the GMM method and matching-based algorithm were successful, particularly in videos recorded at 50 fps recording speed, 20 minutes of liquefaction time, and 40x microscope lens magnification. This condition exhibited the highest average accuracy, with a tracking accuracy of 77.3% and an average accuracy for determining sperm motility abnormalities of 87.7%. Therefore, the combined tracking of sperm movement based on the GMM method and matching-based algorithm can be utilized to identify abnormalities in the movement of human spermatozoa.

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Section: Introductionmentioning

confidence: 99%

Abnormality Determination of Spermatozoa Motility Using Gaussian Mixture Model and Matching-based Algorithm

Mas Diyasa,

Saputra,

Gunawan

et al. 2024

Journal of Robotics and Control

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Differences of Spermatozoa Concentration Analysis Between Manual and Automatic Methods

Ismawatie

Adhipireno

Suyono³

et al. 2021

IJMLST

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The examination of sperm concentration in the laboratory is the calculation of the number and motility using a microscope or using a device. There are still some clinicians who doubt the accuracy of the sperm count results using a semen analyzer rather than using the manual method. This study aims is to determine the differences of the sperm concentration examination between the manual method and the automatic method. Subjects in this study were patients who carried out semen analysis tests at the Clinical Pathology Laboratory of RSIA "Restu Ibu" Sragen from June to August 2020. The object of this research is the examination of sperm concentration, using a manual method using a hemocytometer and an automatic method using the LensHooke ™ SQA X1 Pro. The results of statistical tests using the Mann Whitney methods show that the significance value (p) was 0.960, which means that there was no difference in the results of the sperm concentration examination between the manual method and the automatic method. Result of this research shows that there is no weakness or significant difference if compared between manual and automatic methods.

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Protective Effects of Olive Leaf Hydroalcoholic Extract on Sperm Parameters and Chromatin Quality in NMRI Mice Exposed to the Insecticide Mancozeb: An Experimental Study

Ashkanani

Akbari

2021

JRUMS

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Background and Objectives: Improper use of chemical pesticides such as Mancozeb (MZB) leads to genital injuries. The aim of this study was to determine the effect of different doses of olive leaf extract (OLE) on reproductive damage in male mice exposed to MZB. Materials and Methods:In this experimental study, 64 adult male NMRI mice (10 to 12 weeks) were randomly divided into 8 groups (n=8) including control (Normal saline recipient), Mancozeb (MZB) recipient (500 mg/kg), MZB (500 mg/kg) + (200, 300 and 400 mg of OLE) and OLE group at doses of (200, 300 and 400 mg) and were treated by gavage every other day for 35 days. Then, the mice were killed by cervical dislocation; heart blood samples were drawn to measure serum testosterone level and epididymis removed to examine sperm. Different indicators of sperm analysis (number, motility and morphology), protamine and chromatin health were examined.Data were analyzed using one-way ANOVA and Tukey's multiple comparisons test. Results:The lowest protamine levels (p=0.001) and the lowest alive sperms (p=0.005) were seen in the MZB group.There was a significant decrease in head abnormalities (p=0.003) and immobile sperm (p< 0.001) in OLE groups. At a dose of 200 mg/kg OLE, the highest chromatin health (p<0.001), the highest rapid sperm motility (p=0.037) and the highest testosterone level (p=0.001) were observed. Conclusion:The highest efficacy of OLE was seen at a dose of 200 mg/kg; therefore, consumption of this extract in the same dose can probably be considered as a supportive compound in the diet of high-risk people exposed to MZB.

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Motility Analysis with Morphology: Study Related to Human Sperm

Cited by 3 publications

References 12 publications

Abnormality Determination of Spermatozoa Motility Using Gaussian Mixture Model and Matching-based Algorithm

Abnormality Determination of Spermatozoa Motility Using Gaussian Mixture Model and Matching-based Algorithm

Differences of Spermatozoa Concentration Analysis Between Manual and Automatic Methods

Protective Effects of Olive Leaf Hydroalcoholic Extract on Sperm Parameters and Chromatin Quality in NMRI Mice Exposed to the Insecticide Mancozeb: An Experimental Study

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