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In Vitro Fertilization

In Vitro Fertilization

In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
The IVF process begins with ovarian stimulation, during which reproductive endocrinologists prescribe hormonal medications to stimulate the ovaries to produce multiple eggs instead of the single...

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Time-Lapse Imaging in IVF: Bridging the Gap Between Promises and Clinical Realities.

Grzegorz Mrugacz¹, Igor Bołkun¹, Tomasz Magoń²

¹Center for Reproductive Medicine Bocian, 26 Akademicka St., 15-267 Białystok, Poland.

International Journal of Molecular Sciences

|October 16, 2025

Summary

Time-lapse imaging (TLI) in IVF offers continuous embryo assessment but lacks universal live birth rate improvements. Its clinical utility is context-dependent, requiring cautious adoption and further research for optimization.

Keywords:

IVF algorithm validation assisted reproduction morphokinetics time-lapse imaging

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Area of Science:

Reproductive Medicine
Embryology
Assisted Reproductive Technologies

Background:

Time-lapse imaging (TLI) provides non-invasive embryo assessment via morphokinetic profiling in IVF.
TLI offers potential benefits like reduced subjectivity and detection of dynamic anomalies.

Purpose of the Study:

To review the evidence on the clinical utility of TLI in IVF.
To assess the context-dependent value of TLI and its limitations.

Main Methods:

Systematic review of large trials and meta-analyses on TLI in IVF.
Analysis of TLI's performance in specific contexts, such as Preimplantation Genetic Testing for Aneuploidies (PGT-A).

Main Results:

TLI does not universally improve live birth rates compared to conventional IVF methods.
Challenges include algorithm generalizability, protocol variability, and high costs.
TLI shows marginal benefits in PGT-A cycles for predicting euploidy, reducing biopsies.

Conclusions:

The value of TLI in IVF is context-dependent, not universally applicable.
Cautious adoption is recommended to prevent resource misallocation.
Future optimization requires personalized protocols, biomarker integration, and multicenter collaboration.