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Spermatozoa

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A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks.

Asian journal of andrology
Sperm identification and selection is an essential task when processing human testicular samples for in vitro fertilization. Locating and identifying sperm cell(s) in human testicular biopsy samples is labor intensive and time consuming. We developed...

Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination.

Sensors (Basel, Switzerland)
We propose a deep learning method based on the Region Based Convolutional Neural Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen videos. The neural network performs the segmentation of sperm heads, while the pro...

Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data.

Journal of assisted reproduction and genetics
Over the past years, the assisted reproductive technologies (ARTs) have been accompanied by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse monitoring of the embryonic morphokinetics, and PGS are innovative tec...

High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition.

Scientific reports
Sperm cell motility and morphology observed under the bright field microscopy are the only criteria for selecting a particular sperm cell during Intracytoplasmic Sperm Injection (ICSI) procedure of Assisted Reproductive Technology (ART). Several fact...

Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure.

Proceedings of the National Academy of Sciences of the United States of America
The ability to evaluate sperm at the microscopic level, at high-throughput, would be useful for assisted reproductive technologies (ARTs), as it can allow specific selection of sperm cells for in vitro fertilization (IVF). The tradeoff between intrin...

A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.

Medical & biological engineering & computing
Sperm morphology, as an indicator of fertility, is a critical tool in semen analysis. In this study, a smartphone-based hybrid system that fully automates the sperm morphological analysis is introduced with the aim of eliminating unwanted human facto...

Incubation with Cholesterol-loaded Cyclodextrin and Subsequent Dilution in Partially Deoxygenated Extender Improves the Freezability of Cross-bred Bull Sperm.

Cryo letters
BACKGROUND: The cryopreservation process induces osmotic stress, membrane changes and production of reactive oxygen species resulting in damage to the spermatozoa. Together, the presence of oxygen in the extender aggravates the oxidative stress that ...

Possible Protective Mechanisms of Coenzyme Q10 Action on Spermatozoa During Cryopreservation or Cooled-Stored Condition.

Cryo letters
Artificial insemination (AI) with frozen or cooled-stored semen plays a key role in the widespread distribution of germplasm of elite livestock resources and the protection of endangered species. Cryopreservation provides long-term preservation of sp...

Alpha-tocopheryl Succinate in Extender Improves the Post Thaw Quality of Water Buffalo Spermatozoa.

Cryo letters
BACKGROUND: Alpha-tocopheryl succinate, a major chain-splitting antioxidant, is the most effective form of vitamin E and may be used in the semen extender for cryopreservation of buffalo spermatozoa.