scholarly journals Sperm Inspection for In Vitro Fertilization via Self-Assembled Microdroplet Formation and Quantitative Phase Microscopy

Cells ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3317
Author(s):  
Yuval Atzitz ◽  
Matan Dudaie ◽  
Itay Barnea ◽  
Natan T. Shaked
Keyword(s):  
In Vitro Fertilization ◽  
Sperm Selection ◽  
Vitro Fertilization ◽  
Cell Trapping ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy ◽  
Field Imaging ◽  
Selection Of

We present a new method for the selection of individual sperm cells using a microfluidic device that automatically traps each cell in a separate microdroplet that then individually self-assembles with other microdroplets, permitting the controlled measurement of the cells using quantitative phase microscopy. Following cell trapping and droplet formation, we utilize quantitative phase microscopy integrated with bright-field imaging for individual sperm morphology and motility inspection. We then perform individual sperm selection using a single-cell micromanipulator, which is enhanced by the microdroplet-trapping procedure described above. This method can improve sperm selection for intracytoplasmic sperm injection, a common type of in vitro fertilization procedure.

scholarly journals Solving the "right" problems for effective machine learning driven in vitro fertilization

2021 ◽  
Author(s):  
Itay Erlich ◽  
Assaf Ben-Meir ◽  
Iris Har-Vardi ◽  
James A Grifo ◽  
Assaf Zaritsky
Keyword(s):  
Machine Learning ◽  
In Vitro Fertilization ◽  
Clinical Factors ◽  
Vitro Fertilization ◽  
Data Intensive ◽  
Live Embryo ◽  
The Right ◽  
Visual Properties ◽  
Selection Of

Automated live embryo imaging has transformed in-vitro fertilization (IVF) into a data-intensive field. Unlike clinicians who rank embryos from the same IVF cycle cohort based on the embryos visual quality and determine how many embryos to transfer based on clinical factors, machine learning solutions usually combine these steps by optimizing for implantation prediction and using the same model for ranking the embryos within a cohort. Here we establish that this strategy can lead to sub-optimal selection of embryos. We reveal that despite enhancing implantation prediction, inclusion of clinical properties hampers ranking. Moreover, we find that ambiguous labels of failed implantations, due to either low quality embryos or poor clinical factors, confound both the optimal ranking and even implantation prediction. To overcome these limitations, we propose conceptual and practical steps to enhance machine-learning driven IVF solutions. These consist of separating the optimizing of implantation from ranking by focusing on visual properties for ranking, and reducing label ambiguity.

Selection of Reference miRNAs for Relative Quantification in Buffalo (Bubalus bubalis) Blastocysts Produced by Hand-Made Cloning and In Vitro Fertilization

2019 ◽  
Vol 21 (4) ◽  
pp. 200-209 ◽  
Author(s):  
Swati Viviyan Lagah ◽  
Tanushri Jerath Sood ◽  
Prabhat Palta ◽  
Manishi Mukesh ◽  
Manmohan Singh Chauhan ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Bubalus Bubalis ◽  
Relative Quantification ◽  
Vitro Fertilization ◽  
Selection Of ◽  
Reference Mirnas

scholarly journals Selection of first in vitro fertilization (IVF) cycle stimulation protocol for good prognosis patients: GnRH antagonist vs. agonist protocols

2007 ◽  
Vol 88 ◽  
pp. S152
Author(s):  
E.B. Johnston-MacAnanny ◽  
A.J. DiLuigi ◽  
L.L. Engmann ◽  
D.B. Maier ◽  
C.A. Benadiva ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Gnrh Antagonist ◽  
Good Prognosis ◽  
Stimulation Protocol ◽  
Vitro Fertilization ◽  
Selection Of

Selection of superior stimulation protocols for follicular development in a program for in vitro fertilization

1985 ◽  
Vol 43 (2) ◽  
pp. 251-254 ◽  
Author(s):  
Michael P. Diamond ◽  
Bobby W. Webster ◽  
Catherine H. Garner ◽  
William K. Vaughn ◽  
Wayne S. Maxson ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Follicular Development ◽  
Vitro Fertilization ◽  
Selection Of

scholarly journals Methods of Sperm Selection for In-Vitro Fertilization

2021 ◽  
Author(s):  
Abimibola Nanna
Keyword(s):  
In Vitro Fertilization ◽  
Sperm Cell ◽  
Sperm Concentration ◽  
Cell Selection ◽  
Sperm Selection ◽  
Vitro Fertilization ◽  
Sperm Dna Damage ◽  
Microfluidic Separation ◽  
Infertile Men

50–60% of infertility cases are as a result of male infertility and infertile men semen sample is characterize with poor motility, abnormal morphology, low sperm concentration, azoospermic and increased levels of sperm DNA damage. As a result of this heterogeneity of the ejaculate, sperm selection has become a necessary step to carry out prior to in vitro fertilization. Furthermore, the choice of sperm cell selection techniques depend on sperm concentration and sperm biology and the recovery of highly functional sperm cell population depend on the combination of more than one technique in some cases. The regular sperm cell selection methods in ART laboratory are swim up, density gradient, simple wash and other advanced and emerging sperm selection techniques which include hyaluronic acid mediated sperm binding, Zeta potential, hypoosmotic swelling test, magnetic activated cell sorting and microfluidic separation of sperm cells. The various methods have its own advantages and disadvantages which may be applicable to the individual need of infertile men and its effect on ART outcome.

scholarly journals EFFECT OF THE USE OF TWO SPERM SELECTION TECHNIQUES FOR IN VITRO PRODUCTION OF ALPACA EMBRYOS

SPERMOVA ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 67-72
Author(s):  
Mijail Contreras Huamani ◽  
◽  
Mary Naveros ◽  
Cesar Olaguivel
Keyword(s):  
In Vitro Fertilization ◽  
Cumulus Cells ◽  
Sperm Selection ◽  
Percoll Gradient ◽  
In Vitro Production ◽  
Vitro Fertilization ◽  
Maturation Medium ◽  
Blastocyst Rate ◽  
Vitro Production

The objective of this research was to evaluate the effect of the use of two sperm selection techniques for in vitro production of alpaca embryos. The ovaries and testis were collected from the local slaughterhouse and transport to 37 ° C in saline solution (0.9%) supplemented with gentamicin. Quality I, II and II oocytes were incubated in a maturation medium for 32 h at 38.5 ° C and 5% O2 and 5% CO2. For in vitro fertilization, sperm from the epididymis were selected using the Percoll gradient and Swim up technique. 18h after the oocytes were incubated with the sperm, these were denuded from the cumulus cells and cultured in SOFaa culture medium for 7 days. Morula and blastocyst rate and their morphological quality are evaluated at day 7 of culture. From a total of 370 ovaries, 1,137 oocytes were recovered, making an average of 3.6 oocytes / ovary. After the maturation and fertilization process and in vitro culture, the blastocyst rate was 8.43 ± 6.04% and 3.89 ± 1.75%, for oocytes fertilized with sperm selected with Percoll gradient and Swim up, respectively, not finding significant statistical differences (p> 0.05), between the groups. In conclusion, the in vitro fertilization of alpaca oocytes with spermatozoa selected with two selection techniques (percoll and swim up) did not significantly influence the quantity and quality of morulae and blastocysts at day 7 of embryo culture.

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