Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Infertility in Males01:23

Infertility in Males

302
Male infertility affects millions of couples worldwide, arising from various factors that impact different stages of the reproductive process. An endocrine imbalance resulting from conditions like hypogonadism, Klinefelter syndrome, or pituitary disorders can disrupt hormone levels and reduce sperm production. Testicular defects, such as tumors, cryptorchidism, atrophic testes, abnormal sperm morphology, and low sperm count or motility, may arise due to genetic factors, structural...
302
Sperm Structure and Semen Composition01:22

Sperm Structure and Semen Composition

3.2K
During ejaculation, males release around 2-5 milliliters of semen, which is a complex mixture of mature sperm and various fluids produced by accessory glands. The mature sperm cells measure approximately 60 micrometers in length and consist of a head, neck, midpiece, and tail. The head is flattened and tapered, measuring about 4 to 5 micrometers in length. It contains a nucleus with condensed chromosomes and an acrosome, a cap-like structure filled with enzymes essential for penetrating the...
3.2K
Spermatogenesis01:41

Spermatogenesis

102.7K
Spermatogenesis is the process by which haploid sperm cells are produced in the male testes. It starts with stem cells located close to the outer rim of seminiferous tubules. These spermatogonial stem cells divide asymmetrically to give rise to additional stem cells (meaning that these structures “self-renew”), as well as sperm progenitors, called spermatocytes. Importantly, this method of asymmetric mitotic division maintains a population of spermatogonial stem cells in the male...
102.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Placental pathology and weight following Intrauterine Insemination (IUI) with or without ovarian stimulation (OS).

Placenta·2026
Same author

Uncontrolled Diabetes as the Sole Risk Factor in a Rare Candida glabrata Tubo-Ovarian Abscess.

Cureus·2026
Same author

Recurrent Ectopic Pregnancies Following Bilateral Partial Salpingectomy: A Case Report.

Case reports in obstetrics and gynecology·2026
Same author

Traumatic In-Situ Fracture of an Etonogestrel Implant (Nexplanon®) Presenting as Altered Palpation Without Bleeding: A Case Report and Review of Literature.

Cureus·2026
Same author

Differences in Maternal and Neonatal Outcomes Between Pregnancies Following Intrauterine Insemination (IUI) and In Vitro Fertilization (IVF): A Review.

Journal of clinical medicine·2025
Same author

Fertility planning and delayed childbearing among obstetrics and gynecology (OBGYN) residents: a national cross-sectional survey.

Fertility and sterility·2025

Related Experiment Video

Updated: Jul 29, 2025

Sperm Collection of Differential Quality Using Density Gradient Centrifugation
03:28

Sperm Collection of Differential Quality Using Density Gradient Centrifugation

Published on: November 29, 2018

19.8K

Artificial intelligence for sperm selection-a systematic review.

Panagiotis Cherouveim1, Constantine Velmahos2, Charles L Bormann1

  • 1Massachusetts General Hospital Fertility Center, Department of Obstetrics, Gynecology, and Reproductive Endocrinology and Infertility, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

Fertility and Sterility
|May 26, 2023
PubMed
Summary

Artificial intelligence (AI) offers a solution to improve sperm selection for assisted reproductive technologies. AI algorithms can objectively analyze sperm, aiding embryologists and potentially enhancing fertilization and pregnancy outcomes.

Keywords:
DNASpermartificial intelligencemorphologymotility

More Related Videos

Fish Sperm Assessment Using Software and Cooling Devices
07:57

Fish Sperm Assessment Using Software and Cooling Devices

Published on: July 28, 2018

8.8K
U-Shaped Horizontal Swimming Technique for Preparing High-Quality Sperm with Low DNA Fragmentation Index
09:16

U-Shaped Horizontal Swimming Technique for Preparing High-Quality Sperm with Low DNA Fragmentation Index

Published on: March 28, 2025

225

Related Experiment Videos

Last Updated: Jul 29, 2025

Sperm Collection of Differential Quality Using Density Gradient Centrifugation
03:28

Sperm Collection of Differential Quality Using Density Gradient Centrifugation

Published on: November 29, 2018

19.8K
Fish Sperm Assessment Using Software and Cooling Devices
07:57

Fish Sperm Assessment Using Software and Cooling Devices

Published on: July 28, 2018

8.8K
U-Shaped Horizontal Swimming Technique for Preparing High-Quality Sperm with Low DNA Fragmentation Index
09:16

U-Shaped Horizontal Swimming Technique for Preparing High-Quality Sperm with Low DNA Fragmentation Index

Published on: March 28, 2025

225

Area of Science:

  • Reproductive Medicine
  • Biotechnology
  • Medical Imaging

Background:

  • Assisted reproductive technologies (ART) have seen increased use globally, yet fertilization and pregnancy success rates remain suboptimal.
  • Male infertility significantly contributes to these challenges, necessitating accurate sperm evaluation for diagnosis and treatment.
  • Current manual sperm selection methods are laborious, subjective, and risk sperm damage, impacting treatment efficacy.

Approach:

  • Leveraging artificial intelligence (AI) algorithms for automated sperm analysis and selection.
  • Utilizing AI's image processing capabilities for high-throughput, objective evaluation of sperm parameters.
  • Developing AI models trained on large datasets to enhance accuracy and reproducibility in sperm assessment.

Key Points:

  • AI algorithms demonstrate superior discerning abilities, efficacy, and reproducibility compared to manual methods.
  • AI can process vast amounts of data, offering objectivity in sperm analysis.
  • These algorithms can assist embryologists in selecting viable sperm, reducing subjectivity and potential damage.

Conclusions:

  • AI holds significant potential to overcome current limitations in sperm selection for fertility treatments.
  • AI-driven sperm analysis can lead to improved diagnostic accuracy and treatment outcomes.
  • Continuous improvement of AI models through larger datasets promises further advancements in male infertility management.