AIMC Topic: Spermatozoa
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Machine learning for sperm selection.
Nature reviews. Urology
May 17, 2021
Infertility rates and the number of couples seeking fertility care have increased worldwide over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are being performed globally every year, but the success rate has rem...
Can artificial intelligence drive optimal sperm selection for in vitro fertilization?
Fertility and sterility
Feb 26, 2021
Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination.
Sensors (Basel, Switzerland)
Dec 24, 2020
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...
High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition.
Scientific reports
Aug 4, 2020
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
Jul 20, 2020
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...
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
Jul 11, 2020
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...
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
Mar 6, 2020
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...
Transcriptome analysis and identification of genes associated with chicken sperm storage duration.
Poultry science
Dec 13, 2019
The sperm storage tubules located in the mucosal folds of the uterovaginal junction (UVJ) are the primary site of sperm storage in chicken hens after natural mating or artificial insemination (AI). The short-term sperm storage (24 h after mating or A...
Sperm Tail Defects and Abnormal Testicular Blood Flow in a Beagle Dog: A Case Report.
Topics in companion animal medicine
Nov 8, 2019
A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal morphology, especially sperm tail defects. Although libido and semen volume were normal, ejaculates showed asthenospermia, oligozoospermia, and terat...
Sperm quality of rats exposed to difenoconazole using classical parameters and surface-enhanced Raman scattering: classification performance by machine learning methods.
Environmental science and pollution research international
Nov 7, 2019
Difenoconazole is a fungicide extensively used in agriculture. The aim of this study was to evaluate the effects of difenoconazole fungicide on the sperm quality of rats. Wistar rats were divided into four groups: control and exposed to 5 (D5), 10 (D...
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