Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Review and Preview01:10

Review and Preview

8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.2K
VSEPR Theory for Determination of Electron Pair Geometries
46.2K
Random and Systematic Errors01:20

Random and Systematic Errors

15.4K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.4K
Systematic Sampling Method01:17

Systematic Sampling Method

13.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K
Wave Parameters01:10

Wave Parameters

9.4K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
9.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Explainability of artificial intelligence (AI) tools in assisted reproductive technologies (ARTs): promise, clinical reality, and conceptual limits.

Human reproduction (Oxford, England)·2026
Same author

Live birth rate after ART with donor semen in single women, lesbian couples and heterosexual couples: a systematic review and meta-analysis.

Reproductive biomedicine online·2026
Same author

Universal coverage of IVF: benefits, unintended barriers and lessons from the French model in an international perspective.

Reproductive biomedicine online·2026
Same author

Oocyte quality in the era of AI: integration of morphology, metabolic activity and time-lapse imaging.

Reproductive biomedicine online·2026
Same author

Can large language models provide accurate and empathetic answers to the most frequently asked questions by infertile patients? A pilot study.

Reproductive biomedicine online·2026
Same author

[Polycystic ovary syndrome in primary care: Knowledge among general practitioners].

Gynecologie, obstetrique, fertilite & senologie·2026

Related Experiment Video

Updated: Feb 15, 2026

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
08:21

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

2.4K

Can time-lapse parameters predict embryo ploidy? A systematic review.

Arnaud Reignier1, Jenna Lammers2, Paul Barriere1

  • 1Service de Médecine et Biologie du Développement et de la Reproduction, CHU de Nantes, 38 boulevard Jean Monnet, Nantes, France; Centre de Recherche en Transplantation et Immunologie UMR 1064, INSERM, Université de Nantes, Nantes, France; Faculté de Médecine, Université de Nantes, Nantes, France.

Reproductive Biomedicine Online
|February 6, 2018
PubMed
Summary

Time-lapse imaging offers potential for assessing embryo ploidy, but current morphokinetic parameters are unreliable for predicting chromosomal status. More research is needed before using these methods as a substitute for preimplantation genetic screening (PGS).

Keywords:
AneuploidyMorphokineticPreimplantation genetic screeningTime-lapse

More Related Videos

Two-photon axotomy and time-lapse confocal imaging in live zebrafish embryos
12:21

Two-photon axotomy and time-lapse confocal imaging in live zebrafish embryos

Published on: February 16, 2009

14.6K
A Layered Mounting Method for Extended Time-Lapse Confocal Microscopy of Whole Zebrafish Embryos
08:55

A Layered Mounting Method for Extended Time-Lapse Confocal Microscopy of Whole Zebrafish Embryos

Published on: January 14, 2020

10.0K

Related Experiment Videos

Last Updated: Feb 15, 2026

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
08:21

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

2.4K
Two-photon axotomy and time-lapse confocal imaging in live zebrafish embryos
12:21

Two-photon axotomy and time-lapse confocal imaging in live zebrafish embryos

Published on: February 16, 2009

14.6K
A Layered Mounting Method for Extended Time-Lapse Confocal Microscopy of Whole Zebrafish Embryos
08:55

A Layered Mounting Method for Extended Time-Lapse Confocal Microscopy of Whole Zebrafish Embryos

Published on: January 14, 2020

10.0K

Area of Science:

  • Reproductive Medicine
  • Embryology
  • Genetics

Background:

  • Embryo morphology assessment has limited predictive value for implantation success.
  • Preimplantation genetic screening (PGS) for aneuploidy is improving, but its clinical utility remains debated.
  • A non-invasive method for assessing embryo ploidy is highly sought after in IVF.

Purpose of the Study:

  • To comprehensively review the literature on the predictive value of morphokinetic parameters for embryo ploidy status.
  • To evaluate the effectiveness of time-lapse imaging in predicting chromosomal abnormalities in embryos.

Main Methods:

  • A systematic literature search was performed on PubMed using keywords related to time-lapse, morphokinetics, aneuploidy, and IVF.
  • Included 13 heterogeneous studies with varying designs, patient populations, biopsy timing, and statistical methods.
  • Analyzed studies assessing morphokinetic parameters as predictors of embryo aneuploidy.

Main Results:

  • No single or combination of morphokinetic parameters consistently predicted embryo ploidy status across studies.
  • Significant heterogeneity was observed in study designs, patient cohorts, and outcome measures.
  • The available data is insufficient to draw firm conclusions on the predictive value of time-lapse analysis for aneuploidy screening.

Conclusions:

  • Current morphokinetic parameters derived from time-lapse imaging cannot reliably predict embryo aneuploidy.
  • Morphokinetic parameters should not be used as a surrogate for preimplantation genetic screening (PGS) to determine embryo ploidy.
  • Further research is required to establish the clinical utility of time-lapse analysis in embryo selection.