scholarly journals Human oocyte developmental potential is predicted by mechanical properties within hours after fertilization

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Livia Z. Yanez ◽  
Jinnuo Han ◽  
Barry B. Behr ◽  
Renee A. Reijo Pera ◽  
David B. Camarillo
Keyword(s):  
Mechanical Properties ◽  
Human Oocyte ◽  
Developmental Potential

scholarly journals Automatic evaluation of human oocyte developmental potential from microscopy images

2021 ◽  
Author(s):  
Denis Baručić ◽  
Jan Kybic ◽  
Olga Teplá ◽  
Zinovij Topurko ◽  
Irena Kratochvílová
Keyword(s):  
Human Oocyte ◽  
Automatic Evaluation ◽  
Developmental Potential ◽  
Microscopy Images

MicroRNA-21 as a regulator of human cumulus cell viability and its potential influence on the developmental potential of the oocyte

2020 ◽  
Vol 103 (1) ◽  
pp. 94-103 ◽  
Author(s):  
Alison F Bartolucci ◽  
Tracy Uliasz ◽  
John J Peluso
Keyword(s):  
Cumulus Cell ◽  
Cumulus Cells ◽  
Human Oocyte ◽  
Blastocyst Formation ◽  
Ribonuclease Iii ◽  
Developmental Potential ◽  
Mature Microrna ◽  
Survival Pathway ◽  
Growth Differentiation Factor 9

Abstract MicroRNA-21 is expressed in bovine, murine, and human cumulus cells with its expression in murine and bovine cumulus cells correlated with oocyte developmental potential. The aim of this study was to assess the relationship between cumulus cell MIR-21 and human oocyte developmental potential. These studies revealed that both the immature and mature forms of MicroRNA-21 (MIR-21-5p) were elevated in cumulus cells of oocytes that developed into blastocysts compared to cumulus cells of oocytes that arrested prior to blastocyst formation. This increase in MicroRNA-21 was observed regardless of whether the oocytes developed into euploid or aneuploid blastocysts. Moreover, MIR-21-5p levels in cumulus cells surrounding oocytes that either failed to mature or matured to metaphase II but failed to fertilize, were ≈50% less than the MIR-21-5p levels associated with oocytes that arrested prior to blastocyst formation. Why cumulus cells associated with oocytes of reduced developmental potential expressed less MIR-21-5p is unknown. It is unlikely due to reduced expression of either the receptors of growth differentiation factor 9 or rosha Ribonuclease III (DROSHA) and Dicer Ribonuclease III (DICER) which sequentially promote the conversion of immature forms of MicroRNA-21 to mature MicroRNA-21. Furthermore, cultured cumulus cells treated with a MIR-21-5p inhibitor had an increase in apoptosis and a corresponding increase in the expression of PTEN, a gene known to inhibit the AKT-dependent survival pathway in cumulus cells. These studies provide evidence for a role of MicroRNA-21 in human cumulus cells that influences the developmental potential of human oocytes.

scholarly journals Semantic segmentation of human oocyte images using deep neural networks

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Anna Targosz ◽  
Piotr Przystałka ◽  
Ryszard Wiaderkiewicz ◽  
Grzegorz Mrugacz
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Semantic Segmentation ◽  
Machine Learning Techniques ◽  
In Vitro Fertilisation ◽  
Human Oocyte ◽  
Automatic Assessment ◽  
Neural Models ◽  
Developmental Potential

AbstractBackgroundInfertility is a significant problem of humanity. In vitro fertilisation is one of the most effective and frequently applied ART methods. The effectiveness IVF depends on the assessment and selection of gametes and embryo with the highest developmental potential. The subjective nature of morphological assessment of oocytes and embryos is still one of the main reasons for seeking effective and objective methods for assessing quality in automatic manner. The most promising methods to automatic classification of oocytes and embryos are based on image analysis aided by machine learning techniques. The special attention is paid on deep neural networks that can be used as classifiers solving the problem of automatic assessment of the oocytes/embryos.MethodsThis paper deals with semantic segmentation of human oocyte images using deep neural networks in order to develop new version of the predefined neural networks. Deep semantic oocyte segmentation networks can be seen as medically oriented predefined networks understanding the content of the image. The research presented in the paper is focused on the performance comparison of different types of convolutional neural networks for semantic oocyte segmentation. In the case study, the merits and limitations of the selected deep neural networks are analysed.Results71 deep neural models were analysed. The best score was obtained for one of the variants of DeepLab-v3-ResNet-18 model, when the training accuracy (Acc) reached about 85% for training patterns and 79% for validation ones. The weighted intersection over union (wIoU) and global accuracy (gAcc) for test patterns were calculated, as well. The obtained values of these quality measures were 0,897 and 0.93, respectively.ConclusionThe obtained results prove that the proposed approach can be applied to create deep neural models for semantic oocyte segmentation with the high accuracy guaranteeing their usage as the predefined networks in other tasks.

Phase Transformations in Ti-7w/oMo-3w/oMe Alloy

1974 ◽  
Vol 32 ◽  
pp. 514-515
Author(s):  
S. Fujishiro
Keyword(s):  
Electron Microscopy ◽  
Mechanical Properties ◽  
Transmission Electron Microscopy ◽  
Tensile Strength ◽  
Mechanical Processing ◽  
Ray Method ◽  
X Ray ◽  
Transmission Electron ◽  
Water Quench ◽  
Alpha Beta

The mechanical properties of three titanium alloys (Ti-7Mo-3Al, Ti-7Mo- 3Cu and Ti-7Mo-3Ta) were evaluated as function of: 1) Solutionizing in the beta field and aging, 2) Thermal Mechanical Processing in the beta field and aging, 3) Solutionizing in the alpha + beta field and aging. The samples were isothermally aged in the temperature range 300° to 700*C for 4 to 24 hours, followed by a water quench. Transmission electron microscopy and X-ray method were used to identify the phase formed. All three alloys solutionized at 1050°C (beta field) transformed to martensitic alpha (alpha prime) upon being water quenched. Despite this heavily strained alpha prime, which is characterized by microtwins the tensile strength of the as-quenched alloys is relatively low and the elongation is as high as 30%.

Effects of cooling rate on the mechanical properties of dual phase treated vanadium steels

1983 ◽  
Vol 41 ◽  
pp. 220-221
Author(s):  
L.J. Chen ◽  
H.C. Cheng ◽  
J.R. Gong ◽  
J.G. Yang
Keyword(s):  
Mechanical Properties ◽  
Cooling Rate ◽  
Automobile Industry ◽  
High Strength ◽  
Weight Percent ◽  
Low Alloy Steels ◽  
Dual Phase ◽  
Resource Requirement ◽  
Alloy Steels ◽  
Potential Weight

For fuel savings as well as energy and resource requirement, high strength low alloy steels (HSLA) are of particular interest to automobile industry because of the potential weight reduction which can be achieved by using thinner section of these steels to carry the same load and thus to improve the fuel mileage. Dual phase treatment has been utilized to obtain superior strength and ductility combinations compared to the HSLA of identical composition. Recently, cooling rate following heat treatment was found to be important to the tensile properties of the dual phase steels. In this paper, we report the results of the investigation of cooling rate on the microstructures and mechanical properties of several vanadium HSLA steels.The steels with composition (in weight percent) listed below were supplied by China Steel Corporation: 1. low V steel (0.11C, 0.65Si, 1.63Mn, 0.015P, 0.008S, 0.084Aℓ, 0.004V), 2. 0.059V steel (0.13C, 0.62S1, 1.59Mn, 0.012P, 0.008S, 0.065Aℓ, 0.059V), 3. 0.10V steel (0.11C, 0.58Si, 1.58Mn, 0.017P, 0.008S, 0.068Aℓ, 0.10V).

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