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Related Concept Videos

Sperm Transport01:15

Sperm Transport

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The journey of sperm from its origin to the point of ejaculation begins within the seminiferous tubules of the testis. Here, Sertoli cells produce fluid that propels non-motile sperm through a series of conduits, starting with the straight tubules leading to the rete testis. This interconnected network of tubules acts as the initial pathway for sperm, guiding them into the efferent ductules and then into the epididymis for maturation.
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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...
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Blebs are a type of membrane protrusion formed by the internal hydrostatic pressure of the cytoplasm. Blebs are observed in several cell types, including fibroblasts, immune cells, and single-celled organisms like the amoeba. The primary function of blebs is cell locomotion and apoptosis, but they are also found during necrosis and cell division. The life cycle of a bleb comprises an initiation phase followed by the expansion and retraction phases.
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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...
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Microtubules in Cell Motility01:24

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Microtubules are thick hollow cylindrical proteins that help form the cytoskeleton. Microtubules have varied roles in the cell. These filaments help form cellular appendages like cilia and flagella, which are responsible for locomotion. The cilia arise from basal bodies, separated from the main body by a membrane-like structure forming the transition zone. This zone is the gate for the entry of lipids and proteins, creating a unique composition of lipids and proteins in the ciliary membrane and...
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Related Experiment Video

Updated: Sep 13, 2025

Fish Sperm Assessment Using Software and Cooling Devices
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An efficient advanced YOLOv8 framework for sperm motility detection.

Chuanjiang Li1, Wenjing Xia1, Ang Li2

  • 1The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, No. 100 Guilin Road, 200234, Shanghai, China.

Journal of Assisted Reproduction and Genetics
|July 28, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces YOLOv8-STA, an enhanced YOLOv8 model for accurate sperm motility detection. The new model significantly improves detection accuracy, crucial for reproductive health research.

Keywords:
Deep learningMale fertilitySmall object detectionSperm motility detection

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Area of Science:

  • Computer Vision
  • Biomedical Imaging
  • Reproductive Health

Background:

  • Sperm motility detection is vital for reproductive health research.
  • Traditional methods struggle with sperm's small size, fast movement, and complex backgrounds.

Purpose of the Study:

  • To develop an advanced sperm detection model for improved accuracy.
  • To overcome limitations of traditional image processing in sperm analysis.

Main Methods:

  • Proposed YOLOv8-STA model integrating SPD_Conv for fine-grained feature extraction.
  • Replaced C2F modules with C2F-Triplet modules to enhance feature relationships and attention mechanisms.
  • Introduced a 104x104 pixel small object detection head for advanced feature maps.

Main Results:

  • The YOLOv8-STA model achieved a 4.2% increase in mAP@0.5.
  • Demonstrated a 5.4% increase in mAP@0.5:0.95 compared to the baseline YOLOv8.
  • Validated on the public EVISAN dataset.

Conclusions:

  • The proposed YOLOv8-STA method is effective and superior for sperm motility detection.
  • The model enhances accuracy in analyzing sperm movement vital for human development research.