scholarly journals Using Time Lapse Monitoring for Determination of Morphological Defect Frequency in Feline Embryos after in Vitro Fertilization (IVF)

Animals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 3 ◽  
Author(s):  
Barbara Kij ◽  
Joanna Kochan ◽  
Agnieszka Nowak ◽  
Wojciech Niżański ◽  
Sylwia Prochowska ◽  
...  

Some human, bovine, and mouse in vitro fertilized (IVF) embryos with morphokinetic abnormalities such as fragmentation, direct cleavage, and cytoplasmic vacuoles have the potential to reach the blastocyst stage, which is related to a high potential for implantation. The latest techniques of embryo development observation to enable the evaluation and selection of embryos are based on time lapse monitoring (TLM). The aim of this study was to determine the frequency of morphological defects in feline embryos, their competence to reach the blastocyst stage, and their ability to hatch. Oocyte-cumulus complexes were isolated after the scarification of ovaries and matured in vitro. Matured oocytes were fertilized in vitro by capacitated spermatozoa. Randomly selected oocytes were observed by TLM for seven-to-eight days. Out of 76 developed embryos, 41 were morphologically normal, of which 15 reached the blastocyst stage. Of 35 abnormally developed embryos, 17 reached the blastocyst stage, of which six had single aberrations and 11 had multiple aberrations. The hatching rate (%) was 15.6% in normally cleaving embryos, 6.25% in embryos with single aberrations, and 3.33% in those with multiple aberrations. The present study reports the first results, found by using TLM, about the frequency of the morphological defects of feline embryos, their competence to reach the blastocyst stage, and their ability to hatch.

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Charles L Bormann ◽  
Manoj Kumar Kanakasabapathy ◽  
Prudhvi Thirumalaraju ◽  
Raghav Gupta ◽  
Rohan Pooniwala ◽  
...  

Deep learning in in vitro fertilization is currently being evaluated in the development of assistive tools for the determination of transfer order and implantation potential using time-lapse data collected through expensive imaging hardware. Assistive tools and algorithms that can work with static images, however, can help in improving the access to care by enabling their use with images acquired from traditional microscopes that are available to virtually all fertility centers. Here, we evaluated the use of a deep convolutional neural network (CNN), trained using single timepoint images of embryos collected at 113 hr post-insemination, in embryo selection amongst 97 clinical patient cohorts (742 embryos) and observed an accuracy of 90% in choosing the highest quality embryo available. Furthermore, a CNN trained to assess an embryo’s implantation potential directly using a set of 97 euploid embryos capable of implantation outperformed 15 trained embryologists (75.26% vs. 67.35%, p<0.0001) from five different fertility centers.


Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 748
Author(s):  
Joanna Kochan ◽  
Agnieszka Nowak ◽  
Barbara Kij ◽  
Sylwia Prochowska ◽  
Wojciech Niżański

The aim of this study was to analyze the morphokinetic parameters of feline embryos using a time lapse system. Oocytes matured in vitro were fertilized (IVF) and in vitro cultured in a time lapse-system (Primo Vision®, Gothenburg, Sweden). The first cell division of embryos occurred between 17 h post insemination (hpi) and 38 hpi, with the highest proportion of embryos (46%) cleaving between 21 and 24 hpi. The timing of the first cleavage significantly affected further embryo development, with the highest development occurring in embryos that cleaved at 21–22 hpi. Embryos that cleaved very early (17–18 hpi) developed poorly to the blastocyst stage (2%) and none of the embryos that cleaved later than 27 hpi were able to reach the blastocyst stage. Morphological defects were observed in 48% of the embryos. There were no statistically significant differences between the timing intervals of the first cleavage division and the frequency of morphological defects in embryos. Multiple (MUL) morphological defects were detected in more than half (56%) of the abnormal embryos. The most frequent single morphological defects were cytoplasmic fragmentation (FR) (8%) and blastomere asymmetry (AS) (6%). Direct cleavage (DC) from 1–3 or 3–5 blastomeres, reverse cleavage (RC) and vacuoles were rarely observed (2–3%). The timing of blastocyst cavity formation is a very good indicator of embryo quality. In our study, blastocyst cavity formation occurred between 127–167 hpi, with the highest frequency of hatching observed in blastocysts that cavitated between 142–150 hpi. Blastocysts in which cavitation began after 161 h did not hatch. In conclusion, the timing of the first and second cleavage divisions, the timing of blastocyst cavity formation and morphological anomalies can all be used as early and non-invasive indicators of cat embryo development in vitro.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
X Zhang

Abstract Abstract text Some studies have discussed the use of artificial intelligence and machine learning in the assessment and selection of embryos for in vitro fertilization. Complete artificial intelligence acquired using CNN’s dark box algorithm could be highly useful in assessing in embryos, though it could be difficult to perform the external validation necessary to confirm its value. But due to the inherent drawbacks in complete artificial intelligence assessing in vitro developmental embryos, such as lacking results of discard embryos, dislocations between computer scientist and embryologist, low explanatory values in dark box algorithm, here, we suggest training computers to recognize the target region (internal pellucid zone region) and the features of embryos, then continuously score the embryos starting at in vitro fertilization through the zygote to the blastocyst stage. Parameters suitable for use with various endpoints in treatment sequence could be found by AI. Further clinical studies should be performed to validate the parameters and AI needed. Trial registration number: Study funding: Funding source:


2009 ◽  
Vol 21 (1) ◽  
pp. 202
Author(s):  
K. Imai ◽  
T. Somfai ◽  
Y. Inaba ◽  
Y. Aikawa ◽  
M. Ohtake ◽  
...  

Since the 1980s, several different bovine in vitro embryo production systems have been developed, and more than 291 000 embryos have been transferred throughout the world (Thibier M 2007 IETS Newsletter 25(4), 15–20). However, we have limited knowledge about the cleavage pattern of the first, second, and third cell divisions and the developmental activities of embryos during in vitro culture (IVC). The present study was conducted to determine the developmental activities of bovine embryos obtained by ovum pickup (OPU), in vitro maturation (IVM), and in vitro fertilization (IVF). We analyzed embryonic development by time-lapse cinematography (TLC). A total of 92 cumulus–oocyte complexes were collected by OPU from Japanese Black cows and were subjected to IVM and IVF as reported previously (Imai et al. 2006 J. Reprod. Dev. 52(Suppl.), S19–S29). Inseminated oocytes were cultured in microdrops of CR1aa medium supplemented with 5% calf serum covered by mineral oil in 5% CO2 in air at 38.5°C. Kinetics of embryo development were measured by TLC for 168 h after IVF by using a Cultured Cell Monitoring System (CCM–M1.4ZS, Astec, Fukuoka, Japan). A total of 672 photographs of the embryos were taken (1 photograph every 15 min) during IVC. Image stacks were analyzed by the CCM–M1.4 software. Timing of the first, second, and third cell divisions, blastulation, and embryonic contractions were recorded. The results are reported as time (h) passed after insemination. In total, 75 (81.5%) embryos cleaved and 61 (66.3%) embryos developed to the blastocyst stage. The first, second, and third cell divisions in these viable embryos occurred at 24.0 ± 0.5, 32.1 ± 0.2, and 39.4 ± 0.4 h (mean ± SE) after IVF, respectively. On the other hand, in nonviable embryos (those that failed to develop to the blastocyst stage; n = 14), these cell divisions occurred at 29.5 ± 2.2, 41.3 ± 3.3, and 57.2 ± 7.6 h after IVF, respectively. There tended to be a difference (P = 0.06; paired t-test) in the timing of the first cell division between viable and nonviable embryos. Blastulation of embryos began at 114.4 ± 1.1 h, embryos developed to the blastocyst stage at 127.3 ± 1.4 h, and blastocysts began to expand at 138.4 ± 1.7 h after IVF, respectively. During blastocyst development, embryonic contractions (shrinkage attributable to the rupture of the blastocoele) and tight-shrinkage (shrinking of the embryo to less than 70% of its surface area) were observed in all embryos. The mean numbers of contractions and tight-shrinkages in blastocysts were 5.3 ± 2.7 and 2.1 ± 1.0 times, respectively. The frequency of contractions from the beginning of blastulation to the blastocyst stage was significantly lower (P < 0.01) than after the blastocyst stage. It took 6.9 ± 4.6 h for the embryos to re-expand after the tight-shrinkages. These results indicate that viable in vitro-produced embryos can be selected at early stages by TLC. Further studies are necessary to clarify the importance of the pulsating activity in OPU–IVF embryos. This work was supported by the Research and Development Program for New Bio-industry Initiatives.


Author(s):  
Patricia Fadon ◽  
Eleanor Gallegos ◽  
Salonika Jalota ◽  
Lourdes Muriel ◽  
Cesar Diaz-Garcia

AbstractTime-lapse systems have quickly become a common feature of in vitro fertilization laboratories all over the world. Since being introduced over a decade ago, the alleged benefits of time-lapse technology have continued to grow, from undisturbed culture conditions and round the clock, noninvasive observations to more recent computer-assisted selection of embryos through the development of algorithms. Despite the global uptake of time-lapse technology, its real impact on clinical outcomes is still controversial. This review aims to explore the different features offered by time-lapse technology, discussing incubation, algorithms, artificial intelligence and the regulation of nonessential treatment interventions, while assessing evidence on whether any benefit is offered over conventional technology.


2021 ◽  
Author(s):  
Itay Erlich ◽  
Assaf Ben-Meir ◽  
Iris Har-Vardi ◽  
James A Grifo ◽  
Assaf Zaritsky

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.


Development ◽  
1967 ◽  
Vol 17 (2) ◽  
pp. 293-302
Author(s):  
Joseph C. Daniel

In those mammals in which implantation is delayed, the embryo enters a diapause at the blastocyst stage. The present report describes experiments with mink over the last three breeding seasons, attempting to define the factors that limit development at this stage. Four approaches to the problem were used: (1) determination of growth of mink blastocysts in vitro with specific modifications of media; (2) transplantation of mink embryos to rabbit uteri; (3) direct treatment of pregnant female mink with ergosterol; (4) growth of rabbit blastocysts in vitro in medium containing mink serum. (1) The culture methods used for mink embryos were those developed for the rabbit and described in earlier publications (Daniel, 1963, 1965). Mink blastocysts (Plate 1) were isolated in culture medium after being flushed from the uteri of mothers bred 9-20 days earlier. Various components were added to the medium, F10 (Ham, 1963), in concentrations that were previously tested against rabbit blastocysts and found to be non-toxic, and, in some cases, beneficial to growth.


2019 ◽  
Vol 31 (12) ◽  
pp. 1862 ◽  
Author(s):  
N. A. Martino ◽  
G. Marzano ◽  
A. Mastrorocco ◽  
G. M. Lacalandra ◽  
L. Vincenti ◽  
...  

Time-lapse imaging was used to establish the morphokinetics of equine embryo development to the blastocyst stage after invitro oocyte maturation (IVM), intracytoplasmic sperm injection (ICSI) and embryo culture, in oocytes held overnight at room temperature (22–27°C; standard conditions) before IVM. Embryos that developed to the blastocyst stage underwent precleavage cytoplasmic extrusion and cleavage to the 2-, 3- and 4-cell stages significantly earlier than did embryos that arrested in development. We then determined the rate of blastocyst formation after ICSI in oocytes held for 2 days at either 15°C or room temperature before IVM (15-2d and RT-2d treatment groups respectively). The blastocyst development rate was significantly higher in the 15-2d than in the RT-2d group (13% vs 0% respectively). The failure of blastocyst development in the RT-2d group precluded comparison of morphokinetics of blastocyst development between treatments. In any condition examined, development to the blastocyst stage was characterised by earlier cytoplasmic extrusion before cleavage, earlier cleavage to 2- and 4-cell stages and reduced duration at the 2-cell stage compared with non-competent embryos. In conclusion, this study presents morphokinetic parameters predictive of embryo development invitro to the blastocyst stage after ICSI in the horse. We conclude that time-lapse imaging allows increased precision for evaluating effects of different treatments on equine embryo development.


Sign in / Sign up

Export Citation Format

Share Document