Computer Assisted Sperm Analysis: A Review

Agustinus, Agustinus; Pakpahan, Cennikon

doi:10.20473/iabj.v1i2.35

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…In this study, VCL values >100 µm/s reached the optimal value according to Oliveira et al (2013). According to Agustinus & Pakpahan (2020), VCL is the velocity of sperm on their trajectory and indicates the movement's strength. Moreover, VCL only provides information about the strength of sperm movement but not the course and direction.…”

Section: Discussionmentioning

confidence: 60%

See 1 more Smart Citation

The Quality of Frozen Friesian Holstein Semen after Long-Term Storage

Bahmid¹,

Karja²,

Arifiantini³

2023

Trop. Anim. Sci. J.

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Semen cryopreservation is the long-term storage at very low temperatures in liquid nitrogen for future use. This study investigates the quality of frozen Friesian Holstein (FH) semen after long-term storage. Samples of FH semen stored for 25, 20, 15, 10, 5, and 1 years were collected from one of the national centers for artificial inseminations. Frozen semen was stored in containers with liquid nitrogen at -196 ᵒC in a room with a temperature of 20 ᵒC The variables used after thawing were sperm motility, viability, and abnormalities, as well as plasma membrane integrity (IPM) using computer-assisted sperm analysis (CASA), eosin-nigrosine staining, and hypoosmotic swelling (HOS) test, respectively. Data were analyzed by one-way ANOVA and expressed as mean ± SEM. The result showed no significant differences in sperm viability, abnormalities, and IPM. Furthermore, sperm motility was >40%, consistent with the Indonesian standard for frozen bovine semen. CASA analysis showed that all variables of the motility pattern have no significant difference, except linearity (LIN). The Lin of sperm was lower in frozen semen after one and five years than after 20 and 25 years of storage. The overall quality of semen after 25, 20, 15, 10, 5, and 1 years of storage met the standard and was suitable for artificial insemination.

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Section: Discussionmentioning

confidence: 60%

“…These results were consistent with the result reported by Ramírez-Reveco et al (2016) that an LDA value of 2-3 µm. Agustinus & Pakpahan (2020) found that the LDA value between trials depended on many factors, including CASA type, standard sperm trajectory, and device setting.…”

Section: Discussionmentioning

confidence: 99%

The Quality of Frozen Friesian Holstein Semen after Long-Term Storage

Bahmid¹,

Karja²,

Arifiantini³

2023

Trop. Anim. Sci. J.

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“…He/she should keep the temperature of the semen, perform seminal plasma examination, homogenize the sample well prior to examination, and cross check the result before it's printed. 3…”

Section: Computer Assisted Sperm Analysis (Casa)mentioning

confidence: 99%

Technology Updates in Male Infertility Management

Hinting

Agustinus

2021

IABJ

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Background: Technologies are replacing manpower many fields including medical field. Several devices have been marketed for replacing/reducing manpower in the medical field including male infertility. Here we reviewed several technologies that developed in male infertility. Review: Computer assisted sperm analysis (CASA), Automatic assessment of biochemical marker of seminal plasma, B-mode ultrasound, and automatic sperm cryopreservation can be applied routinely. Several updates i.e. automatic histopathology assessment, ultrasound strain elastography, magnetic resonance imaging (MRI) stronger than 3.0 T, Artificial intelligence for predicting the presence of sperm in azoospermia cases, automatic sperm selection, and automatic intracytoplasmic sperm injection (ICSI) need more studies before their application. Summary: Prudent choice based on valid studies is needed in order to give a comprehensive management to patient with male infertility without using useless technology.

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“…The product used is CASA (Computer-Aided Sperm Analysis) or sperm analyzer [17]. With CASA [18], microscopic photographs of semen are taken, as well as analyzing the number, movement, and morphology of sperm in the semen [19]. Despite its capabilities, commercial CASA products are too expensive and rudimentary [20].…”

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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Computer Assisted Sperm Analysis: A Review

Cited by 4 publications

References 17 publications

The Quality of Frozen Friesian Holstein Semen after Long-Term Storage

The Quality of Frozen Friesian Holstein Semen after Long-Term Storage

Technology Updates in Male Infertility Management

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

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