scholarly journals Embryo selection: the role of time-lapse monitoring

2014 ◽  
Vol 12 (1) ◽  
pp. 124 ◽  
Author(s):  
Peter Kovacs
Keyword(s):  
2008 ◽  
Vol 411 (3) ◽  
pp. 657-666 ◽  
Author(s):  
Anna K. Larsen ◽  
René Lametsch ◽  
John S. Elce ◽  
Jørgen K. Larsen ◽  
Bo Thomsen ◽  
...  

Dynamic regulation of the actin cytoskeleton is important for cell motility, spreading and the formation of membrane surface extensions such as lamellipodia, ruffles and blebs. The ubiquitous calpains contribute to integrin-mediated cytoskeletal remodelling during cell migration and spreading, by cleavage of focal adhesion components and signalling molecules. In the present study, the live-cell morphology of calpain-knockout and wild-type cells was examined by time-lapse fluorescence microscopy, and a role of calpain in mediating the formation of sporadic membrane blebs was established. Membrane blebbing was significantly reduced in calpain-knockout cells, and genetic rescue fully restored the wild-type phenotype in knockout cells. Proteomic comparison of wild-type and knockout cells identified decreased levels of RhoGDI-1 (Rho GDP-dissociation inhibitor) and cofilin 1, and increased levels of tropomyosin in calpain-knockout cells, suggesting a role of calpain in regulating membrane extensions involving these proteins. RhoGDI, cofilin and tropomyosin are known regulators of actin filament dynamics and membrane extensions. The reduced levels of RhoGDI-1 in calpain-knockout cells observed by proteome analysis were confirmed by immunoblotting. Genetic rescue of the calpain-knockout cells enhanced RhoGDI-1-expression 2-fold above that normally present in wild-type cells. These results suggest a regulatory connection between calpain and RhoGDI-1 in promoting formation of membrane blebs.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
M F Kragh ◽  
J T Lassen ◽  
J Rimestad ◽  
J Berntsen

Abstract Study question Do AI models for embryo selection provide actual implantation probabilities that generalise across clinics and patient demographics? Summary answer AI models need to be calibrated on representative data before providing reasonable agreements between predicted scores and actual implantation probabilities. What is known already AI models have been shown to perform well at discriminating embryos according to implantation likelihood, measured by area under curve (AUC). However, discrimination performance does not relate to how models perform with regards to predicting actual implantation likelihood, especially across clinics and patient demographics. In general, prediction models must be calibrated on representative data to provide meaningful probabilities. Calibration can be evaluated and summarised by “expected calibration error” (ECE) on score deciles and tested for significant lack of calibration using Hosmer-Lemeshow goodness-of-fit. ECE describes the average deviation between predicted probabilities and observed implantation rates and is 0 for perfect calibration. Study design, size, duration Time-lapse embryo videos from 18 clinics were used to develop AI models for prediction of fetal heartbeat (FHB). Model generalisation was evaluated on clinic hold-out models for the three largest clinics. Calibration curves were used to evaluate the agreement between AI-predicted scores and observed FHB outcome and summarised by ECE. Models were evaluated 1) without calibration, 2) calibration (Platt scaling) on other clinics’ data, and 3) calibration on the clinic’s own data (30%/70% for calibration/evaluation). Participants/materials, setting, methods A previously described AI algorithm, iDAScore, based on 115,842 time-lapse sequences of embryos, including 14,644 transferred embryos with known implantation data (KID), was used as foundation for training hold-out AI models for the three largest clinics (n = 2,829;2,673;1,327 KID embryos), such that their data were not included during model training. ECEs across the three clinics (mean±SD) were compared for models with/without calibration using KID embryos only, both overall and within subgroups of patient age (<36,36-40,>40 years). Main results and the role of chance The AUC across the three clinics was 0.675±0.041 (mean±SD) and unaffected by calibration. Without calibration, overall ECE was 0.223±0.057, indicating weak agreements between scores and actual implantation rates. With calibration on other clinics’ data, overall ECE was 0.040±0.013, indicating considerable improvements with moderate clinical variation. As implantation probabilities are both affected by clinical practice and patient demographics, subgroup analysis was conducted on patient age (<36,36-40,>40 years). With calibration on other clinics’ data, age-group ECEs were (0.129±0.055 vs. 0.078±0.033 vs. 0.072±0.015). These calibration errors were thus larger than the overall average ECE of 0.040, indicating poor generalisation across age. Including age as input to the calibration, age-group ECEs were (0.088±0.042 vs. 0.075±0.046 vs. 0.051±0.025), indicating improved agreements between scores and implantation rates across both clinics and age groups. With calibration including age on the clinic’s own data, however, the best calibrations were obtained with ECEs (0.060±0.017 vs. 0.040±0.010 vs. 0.039±0.009). The results indicate that both clinical practice and patient demographics influence calibration and thus ideally should be adjusted for. Testing lack of calibration using Hosmer-Lemeshow goodness-of-fit, only one age-group from one clinic appeared miscalibrated (P = 0.02), whereas all other age-groups from the three clinics were appropriately calibrated (P > 0.10). Limitations, reasons for caution In this study, AI model calibration was conducted based on clinic and age. Other patient metadata such as BMI and patient diagnosis may be relevant to calibrate as well. However, for both calibration and evaluation on the clinic’s own data, a substantiate amount of data for each subgroup is needed. Wider implications of the findings With calibrated scores, AI models can predict actual implantation likelihood for each embryo. Probability estimates are a strong tool for patient communication and clinical decisions such as deciding when to discard/freeze embryos. Model calibration may thus be the next step in improving clinical outcome and shortening time to live birth. Trial registration number This work is partly funded by the Innovation Fund Denmark (IFD) under File No. 7039-00068B and partly funded by Vitrolife A/S


1988 ◽  
Vol 83 (1) ◽  
pp. 41-46 ◽  
Author(s):  
P. Jurberg ◽  
J. V. Barbosa ◽  
L. Rotenberg

This work examines the role of behavior in the survival of Biomphalaria glabrata exposed to 25, 50 75 and 100 mgl-1 of Phytolacca dodecandra. Time-lapse cinematography was used to quantify accurately the following parameters: (a) frequency of exits from the solution, (b) time spent out of the solution and (c) time elapsed until the first exit from the solution. These behavior patterns were statistically compared between surviving snails and those which later died. The proportion of surviving snails leaving the liquid medium was significantly higher than that of dying snails. In addition, the surviving group spent significantly more time out of the solution than the group which died, except for the 100 mgl-1 concentration. However, no significant difference was detected in the time elapsed until the first exit from the solution. It can be concluded that both the tendency to leave the P. dodecandra solutions, and the time spent out of them, contributed significantly to snail survival. Molluscicide bioassays should take into account the possibility that some behavior patterns of planorbids might contribute to the protection of the snails.


2018 ◽  
Vol 71 (12) ◽  
pp. 2488-2496 ◽  
Author(s):  
Sergio A Recio ◽  
Adela F Iliescu ◽  
Isabel de Brugada

Research on perceptual learning shows that the way stimuli are presented leads to different outcomes. The intermixed/blocked (I/B) effect is one of these outcomes, and different mechanisms have been proposed to explain it. In human research, it seems that comparison between stimuli is important, and the placement of a distractor between the pre-exposed stimuli interferes with the effect. Results from animal research are usually interpreted in different terms because the type of procedure normally used in animal perceptual learning does not favour comparison. In our experiments, we explore the possibility that a distractor placed between the to-be-discriminated stimuli may interfere with the perceptual learning process in rats. In Experiment 1, two flavoured solutions are presented in an I/B fashion, with a short time lapse between them to favour comparison, showing the typical I/B effect. In Experiment 2, we introduced a distractor in between the solutions, abolishing this effect. Experiment 3 further replicates this by comparing two intermixed groups with or without distractor. The results replicate the findings from human research, suggesting that comparison also plays an important role in animal perceptual learning.


2012 ◽  
Vol 98 (3) ◽  
pp. S18
Author(s):  
J. Herrero ◽  
I. Rubio ◽  
A. Tejera ◽  
A. Galán ◽  
E. Labarta ◽  
...  

2021 ◽  
Author(s):  
David Scheidweiler ◽  
Ankur Deep Bordoloi ◽  
Pietro de Anna

<p>Predicting dispersal patterns is important to understand microbial life in porous media as soils and sedimentary environments. We studied active and passive dispersal of bacterial cells in porous media characterized by two main pore features: fast channels and dead-end cavities. We combined experiments with microfluidic devices and time-lapse microscopy to track individual bacterial trajectories and measure the breakthrough curves and pore scale bacterial abundance. Escherichia coli cells dispersed more efficiently than the non-motile mutants showing a different retention in the dead-end pores. Our findings highlight the role of diffusion dominated dead-end pores on the dispersal of microorganisms in porous media.</p>


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
K Malhotra ◽  
J Malhotra ◽  
N Malhotra ◽  
N Malhotra

Abstract Study question Do embryologists need additional training or certifications before using add on techniques in the lab ? Summary answer Out of 173 respondents majority feel add on techniques require training and/or certifications, the mode of training varies for different add ons. What is known already Cochrane reviews have suggested that minimal evidence exists for the use of add on treatments in ART, the data on the prevalence of add ons in IVF is unclear but the presence of technologies in ART laboratories world over suggests a increasing trend of adoption of unproven techniques. No data exists suggesting the role of embryologists in performing the Add on techniques and how their training or lack of, can impact patient safety. The most common method of training comes from the manufacturers and there is a lack of structured trainings for add on treatments worldover. Study design, size, duration An internet based survey was designed keeping in mind commonly available laboratory add ons. It comprised of 9 sections and a total of 18 multiple choice questions. Answer choices ranged from a simple yes or no to more complex choices suggesting the type of training and the potential benefits of training. Participants/materials, setting, methods The Survey includes results from 173 embryologists from india with varying degree of experience. Add ons included in the survey were Sperm DNA Fragmentation test, IMSI, PICSI, Microfluidics, MACS, Advanced culture media, Oocyte vitrification, Assisted hatching, Time Lapse imaging, spindle view and Electronic Witnessing. The most common practice suggestions were tabulated and identified. Main results and the role of chance The survey reports huge need for training for different add on treatments (SDF –91.4%, IMSI - 81.2%, PICSI- 66.5%, Microfluidics- 55.9%, MACS –55.3%, MicroTese- 86.9%, using advanced culture medias{Calcium ionophore- 73.4%, Hyaluronan rich media- 52.1%, growth cytokine rich media–48.5%, Theophylline for sperm motility–50.9%},oocyte Vitrification 85.5%, Assisted Hatching 75.4%, Time-lapse and Electronic witnessing 77.3%, Polarised microscopy for spindle assessment 73.5%). The Most preferred mode of training for more invasive procedures was Hands on training, followed by On the job training and validation followed by workshops(SDF- 62.6%, IMSI- 61%,PICSI–56.1%, MACS and Microfluidics 38.8%,microTese- 50.6%,Oocyte freezing 85.5%, assisted hatching 67.8%,Time-lapse and electronic witnessing 77.3%, Spindle view 73.5% ). The most preferred mode of training for non invasive procedures was Workshops and Observerships, followed by CME’s, followed by product Leaflets(44.4%,42.1%,13.5% respectively). The most common answer for the disadvantages of not being trained was unable to use the technology to its fullest potential(88.5%), whereas the most common answer for the benefit of being trained was better outcomes with said technologies(76.6%). Limitations, reasons for caution This study includes responses from embryologists who have varied levels of experience, while the need for training can be established based on these results, a junior level embryologist might answer the survey differently as compared to a senior or a lab director. Wider implications of the findings: This is a first of its kind large survey, suggesting the need for training and validation from the perspective of the embryologist. This data can be used in formulating guidelines for future trainings and can help regulators in deciding on the most preferred mode of training. Trial registration number -


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