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Zygote and Pronuclear Morphology Scoring

Assessment of pronuclei number, size, alignment, nucleolar precursor bodies (NPBs), and non-2PN (1PN/0PN/3PN) developmental competency.

65 sources ↓Last researched 2026-10-20

State of the Field: Zygote and Pronuclear Morphology Scoring

Assessment of pronuclei number, size, alignment, nucleolar precursor bodies (NPBs), and non-2PN (1PN/0PN/3PN) developmental competency. Grounded synthesis across 65 primary sources and 12 graded findings within Reproductive Medicine & Human Fertility → Assisted Reproductive Technology & Gamete Donation.

Synopsis · Executive Overview

The field of zygote and pronuclear (PN) scoring has shifted from viewing PN morphology as a primary diagnostic tool to prioritizing it as an auxiliary, secondary assessment method. While classical Z-scoring models identified significant correlations between NPB alignment, size, and blastocyst development, more recent large-scale data and ESHRE/Alpha consensus guidelines indicate that morphological assessment in isolation possesses limited predictive power for clinical outcomes. Notably, the historical exclusion of 1PN and 0PN zygotes is increasingly challenged; evidence confirms that these can yield euploid blastocysts and healthy live births. Integration of time-lapse technology and automated artificial intelligence-based morphokinetic tools currently offers superior predictive accuracy over manual PN grading. Consequently, clinical consensus now advises against discarding non-2PN zygotes solely based on traditional scoring frameworks.

Section I · Primary Literature & Evidence Synthesis

What the Peer-Reviewed Record Establishes

The primary research record in Zygote and Pronuclear Morphology Scoring is stratified by study design so that meta-analyses and replicated randomised controlled trials (T1–T2) carry greater epistemic weight than observational cohorts (T3–T4) or preclinical laboratory work (T5). Leading graded findings establish the core empirical baseline: [T1] An updated international ESHRE/Alpha consensus formulated 20 recommendations on preimplantation timelines and morphological evaluation of oocytes, zygotes, and embryos, advising that poorly substantiated morphological criteria should be relegated to embryo ranking or excluded from grading. [8] [T1] Pronuclear morphology (PN scoring) is significantly associated with embryo quality, chromosomal status, and blastocyst development. [48][49]

Further clinical and mechanistic stratification across the literature demonstrates: [T1] An international consensus workshop established standardized terminology and grading criteria for human zygote pronuclear scoring alongside oocytes, cleavage embryos, and blastocysts. [30][53] [T1] Atypical fertilisation patterns, such as 2.1PN zygotes, can potentially develop into viable blastocysts and should be distinguished from classic 3PN zygotes. [1]

Section II · Mechanisms, Interventions & Subgroup Calibration

Comparative Evaluation of Levers & Theoretical Models

Within the Tree of Knowledge, this field branches into 3 specialised sub-disciplines: Artificial Intelligence in Zygote Grading (Implementation of deep learning and computer vision for automated, objective segmentation and assessment of pronuclear features); Nucleolar Precursor Bodies (NPBs) (Assessment of NPB number, size, and polarity/alignment along the pronuclear junction as indicators of nucleolar assembly and epigenetic maturity); Zygotic Aneuploidy and Genetic Status (The relationship between pronuclear morphology (symmetry, size, and position) and the chromosomal constitution of the resulting embryo).

Section III · Historical Trajectory & Contested Frontiers

Evolution of the Field, Open Debates & Active Trials

Chronologically, the field evolved through key inflection points: in 2001, Graduated Embryo Score (GES) (Introduction of a weighted scoring system integrating pronuclear morphology and cleavage-stage markers to predict blastocyst formation); in 2006, Establishment of Pronuclear Morphology association with Euploidy (Demonstrated that specific patterns of pronuclear alignment and nucleolar size correlate with chromosomal normality and implantation rates); in 2011, Istanbul Consensus on Embryo Assessment (Establishment of the first comprehensive international consensus guidelines defining standardized terminology and scoring criteria for human zygotes, oocytes, and embryos); in 2025, Revised Istanbul Consensus on Static and Dynamic Embryo Assessment (Publication of 20 updated ESHRE/Alpha recommendations incorporating time-lapse assessment and refining morphological criteria for oocyte, zygote, and embryo evaluation).

Active scientific debates and unresolved methodological tensions centre on: The clinical utility of Z-scores is contested; while early studies (2000s) supported strong predictive power, recent consensus suggests it is a weak independent predictor when compared to modern blastocyst-stage metrics. (contested) Conflict regarding the ploidy and developmental safety of 0PN and 1PN zygotes; consensus has shifted from universal discard to recognition of their potential for euploidy. (contradiction)

Section IV · Evidentiary Gaps & Research Frontiers

Open Questions & Priorities for the Next Research Sweep

Methodological priorities and open empirical questions queued for the next research sweep across Zygote and Pronuclear Morphology Scoring focus on resolving subgroup effect sizes, causal mechanisms, and long-term outcomes:

  • Standardization of L-R-ICSI (Late Rescue ICSI) protocols to minimize aneuploidy risk in 1PN/0PN embryos.
  • Quantitative comparison between AI-derived morphokinetic algorithms and traditional human PN scoring in multi-center clinical settings.
  • Establishment of universal clinical thresholds for the inclusion of 0PN/1PN embryos in routine transfer workflows.

Evidence Hierarchy (Graded Claims)

  • T1Synthesis of trials
    4 (33%)
  • T2Randomised trial
    0 (0%)
  • T3Observational, large
    7 (58%)
  • T4Observational, small or case-based
    1 (8%)
  • T5Preclinical or mechanistic
    0 (0%)
  • T6Opinion, news or unverified
    0 (0%)
5 settled7 debated0 contested / frontier

Study Designs in Indexed Literature

  • Meta-analyses, Systematic Reviews & Guidelines11 (17%)
  • Randomised Controlled Trials (RCTs)3 (5%)
  • Prospective Cohorts & Clinical Registries26 (40%)
  • Observational & Clinical Case Series2 (3%)
  • Preclinical, Cellular & Computational Models5 (8%)
  • Primary Literature & Archive Records18 (28%)

Publication Timeline Velocity

Fig. 1 — Field Evidence Architecture & Publication Trajectory. Distribution of methodological study designs (65 indexed publications) and 12 extracted claims graded from T1 (meta-analyses and guidelines) to T6.
Primary Citations & Landmark Studies

Key Studies Anchoring This Monograph

Synthesis & Conclusions

State of the Field Conclusions

Taken together, the evidence record in Zygote and Pronuclear Morphology Scoring (65 primary sources, 12 graded claims, highest certainty T1 — Synthesis of trials) separates replicated high-tier findings from early-stage hypotheses. The 3 open research priorities detailed above guide the next autonomous literature and clinical trial sweep.

Key Quantitative Takeaways

  • [T1] An updated international ESHRE/Alpha consensus formulated 20 recommendations on preimplantation timelines and morphological evaluation of oocytes, zygotes, and embryos, advising that poorly substantiated morphological criteria should be relegated to embryo ranking or excluded from grading.
  • [T1] Pronuclear morphology (PN scoring) is significantly associated with embryo quality, chromosomal status, and blastocyst development.
  • [T1] An international consensus workshop established standardized terminology and grading criteria for human zygote pronuclear scoring alongside oocytes, cleavage embryos, and blastocysts.
  • [T1] Atypical fertilisation patterns, such as 2.1PN zygotes, can potentially develop into viable blastocysts and should be distinguished from classic 3PN zygotes.
  • Open frontier in Zygote and Pronuclear Morphology Scoring: Standardization of L-R-ICSI (Late Rescue ICSI) protocols to minimize aneuploidy risk in 1PN/0PN embryos.
Historical timeline (4 milestones, 2001–2025)
  1. 2001

    Graduated Embryo Score (GES)

    Introduction of a weighted scoring system integrating pronuclear morphology and cleavage-stage markers to predict blastocyst formation.

  2. 2006

    Establishment of Pronuclear Morphology association with Euploidy

    Demonstrated that specific patterns of pronuclear alignment and nucleolar size correlate with chromosomal normality and implantation rates.

  3. 2011

    Istanbul Consensus on Embryo Assessment

    Establishment of the first comprehensive international consensus guidelines defining standardized terminology and scoring criteria for human zygotes, oocytes, and embryos.

  4. 2025

    Revised Istanbul Consensus on Static and Dynamic Embryo Assessment

    Publication of 20 updated ESHRE/Alpha recommendations incorporating time-lapse assessment and refining morphological criteria for oocyte, zygote, and embryo evaluation.

Evidence by study design (12 findings across T1–T6)

Strongest support first. The bar beside each finding shows its grade.

Synthesis of trials

  1. #1 An updated international ESHRE/Alpha consensus formulated 20 recommendations on preimplantation timelines and morphological evaluation of oocytes, zygotes, and embryos, advising that poorly substantiated morphological criteria should be relegated to embryo ranking or excluded from grading.

    The Istanbul consensus update: a revised ESHRE/ALPHA consensus on oo… (2025)

    Clarifies the clinical application and limitations of static and dynamic morphological markers across preimplantation developmental stages.

  2. #2 Pronuclear morphology (PN scoring) is significantly associated with embryo quality, chromosomal status, and blastocyst development.

    DebatedPronuclear morphology evaluation in in vitro fertilization (IVF) / i… (2013); Pronuclear morphology evaluation for fresh in vitro fertilization (I… (2013); Pronuclear scoring as a predictor of embryo quality in in vitro fert… (2007); Oocyte euploidy, pronuclear zygote morphology and embryo chromosomal… (2006); and 1 more

    While many studies find biological correlations with viability, systematic reviews highlight a lack of conclusive evidence regarding the impact of PN scoring on live birth rates.

  3. #3 An international consensus workshop established standardized terminology and grading criteria for human zygote pronuclear scoring alongside oocytes, cleavage embryos, and blastocysts.

    Impact of Prematuration Culture on Zygote Morphology in In Vitro Mat… (2021); The Istanbul consensus workshop on embryo assessment: proceedings of… (2011)

    Standardized pronuclear morphology criteria provide an internationally agreed framework for laboratory assessment of fertilization and early embryo quality.

  4. #4 Atypical fertilisation patterns, such as 2.1PN zygotes, can potentially develop into viable blastocysts and should be distinguished from classic 3PN zygotes.

    DebatedClinical implications of zygotes showing 2.1 pronuclei: an ASPIRE Em… (2026)

    Classification of 2.1PN embryos remains inconsistent; expert consensus suggests they warrant further assessment rather than immediate discard.

Observational, large

  1. #5 0PN embryos are predominantly diploid, whereas 1PN and >2PN zygotes exhibit higher rates of ploidy abnormalities.

    O-209 The incidence of different ploidy alterations in abnormally fe… (2023)

    Identification of ploidy configurations in abnormally fertilized oocytes is essential for assessing their potential as transferable embryos.

  2. #6 Pronuclear (PN) morphology, specifically nucleolar precursor body (NPB) ratio and alignment, is a significant predictor of fetal development and delivery.

    DebatedMorphologic parameters of early cleavage-stage embryos that correlat… (2006); The Graduated Embryo Score (GES) predicts blastocyst formation and p… (2001)

    Early morphological markers at the zygote stage provide independent predictive power for embryo implantation potential.

  3. #7 0PN and 1PN zygotes can develop into diploid, bi-parental, and developmentally competent embryos, despite historically being discarded in clinical practice.

    DebatedCleavage-stage stratification reveals the clinical and developmental… (2026); Clinical outcomes of 1PN- and 3PN-derived blastocysts in the absence… (2026); Developmental potential of non- and mono-pronuclear zygotes and asso… (2024); Factors Associated with the Occurrence of 0PN Fertilization in in Vi… (2024); and 6 more

    Including these embryos can increase transferrable embryo cohorts, though clinical outcomes are generally lower than those of 2PN embryos.

  4. #8 Integration of zygote-stage morphokinetic parameters with conventional morphology using automated tools (e.g., gradient boosting, deep learning) improves blastocyst outcome prediction accuracy.

    Comprehensive assessment of pronuclear morphological pattern prognos… (2026); Construction of a Standardized Time-Lapse Imaging Database and a Gra… (2026)

    Computational fusion of heterogeneous data points provides higher predictive accuracy (AUC ~0.78) than either standard morphological grading or morphokinetics alone.

  5. #9 The predictive value of traditional PN Z-score morphological assessment for clinical pregnancy and implantation when used in isolation is limited.

    DebatedComprehensive assessment of pronuclear morphological pattern prognos… (2026)

    Clinical outcomes are more accurately predicted when PN morphology is integrated with other machine learning-based markers rather than used as a stand-alone metric.

  6. #10 Zygote morphology (Z-score) performance in predicting outcomes can be influenced by the controlled ovarian stimulation protocol used.

    DebatedReassessing the feasibility of the zygote score for predicting embry… (2017)

    External laboratory conditions and stimulation protocols may alter baseline zygote quality and the predictive utility of scoring systems.

  7. #11 Early cleavage status at day 3 may be a more robust independent predictor of implantation potential than zygote (PN) morphology alone.

    DebatedEvaluation of day one embryo quality and IVF outcome – a comparison … (2009)

    Identifying independent predictive markers for embryo selection is a core goal in improving IVF efficiency.

Observational, small or case-based

  1. #12 Pronuclear (PN) morphology scoring, specifically the Z-scoring system, can predict embryo survival and development to day-2 and day-5, as well as pregnancy outcomes.

    The predictive value of pronuclear morphology screening on embryodev… (2008)

    Morphological assessment of zygotes provides a non-invasive tool to assist in the selection of embryos with higher implantation potential.

Where the record disagrees (2 controversies)
  • The clinical utility of Z-scores is contested; while early studies (2000s) supported strong predictive power, recent consensus suggests it is a weak independent predictor when compared to modern blastocyst-stage metrics.

    Findings #2, #6, #9, #12

  • Conflict regarding the ploidy and developmental safety of 0PN and 1PN zygotes; consensus has shifted from universal discard to recognition of their potential for euploidy.

    Findings #5, #7

Node lineage & crossover disciplines

Parent lineage, active node, direct child sub-branches, and associated crossover disciplines across the Tree of Knowledge.

+ Associated nodes:

Branches

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Primary indexed sources (65)

Primary scientific literature, systematic reviews, and clinical trial registrations indexed for this branch.

  1. Clinical implications of zygotes showing 2.1 pronuclei: an ASPIRE Embryology Special Interest Group committee opinion — Tammy Lee, Diana TAIN, Tien-cheng Arthur Chang et al. Reproductive BioMedicine Online, 2026, systematic review, 1 citations · DOI: 10.1016/j.rbmo.2026.105844
  2. Cleavage-stage stratification reveals the clinical and developmental potential of 0PN embryos compared with 2PN embryos in IVF — Dan Li, Haoyu Li, Lei Zhang et al. Frontiers in Endocrinology, 2026, cohort · DOI: 10.3389/fendo.2026.1856070
  3. New Innovations in IVF Technologies — Pramod Kumar, Pankaj Kumar Choudhary, Anandita Srivastava International journal of research and scientific innovation, 2026, unknown · DOI: 10.51244/ijrsi.2026.1306000295
  4. Comprehensive assessment of pronuclear morphological pattern prognostic value using machine learning approaches in IVF programs — Н.П. Нигматова, Sergei Sergeev, Yelarman Buyanzhargal et al. Journal of IVF-Worldwide, 2026, cohort · DOI: 10.46989/001c.155182
  5. Clinical outcomes of 1PN- and 3PN-derived blastocysts in the absence of transferable 2PN embryos: A retrospective analysis — Nuri Peker, Ayşen Yücetürk, Esra Tığlı et al. PLoS ONE, 2026, cohort · DOI: 10.1371/journal.pone.0355689
  6. Construction of a Standardized Time-Lapse Imaging Database and a Gradient Boosting Ensemble Framework for Integrating Zygote Morphokinetic Parameters with Conventional Embryo Assessment — Mingpeng Zhao, Jie LIU, Dong Han et al. medRxiv, 2026, cohort · DOI: 10.64898/2026.08.20.26359523
  7. Arabidopsis EMB2788 / Npa1L1 is critical for pre‐ rRNA processing, ribosome biogenesis, and embryo development — Mei Liu, Shuailei Wang, Zhuoxuan Li et al. The Plant Journal, 2026, animal · DOI: 10.1111/tpj.71114
  8. The Istanbul consensus update: a revised ESHRE/ALPHA consensus on oocyte and embryo static and dynamic morphological assessment, — The Working Group on the update of the ESHRE/ALPHA Istanbul Consensus, Giovanni Coticchio, Aisling Ahlström et al. Human Reproduction, 2025, unknown, 74 citations · DOI: 10.1093/humrep/deaf021
  9. Predicting pregnancy outcomes in IVF cycles: a systematic review and diagnostic meta- analysis of artificial intelligence in embryo assessment — Ataei Mina, Masumeh Younesi, Tahereh Doohandeh et al. Contraception and Reproductive Medicine, 2025, systematic review, 14 citations · DOI: 10.1186/s40834-025-00400-4
  10. Noninvasive Biomarkers of Human Embryo Developmental Potential — Jan Tesařík International Journal of Molecular Sciences, 2025, unknown, 11 citations · DOI: 10.3390/ijms26104928
  11. An integrated optimization and deep learning pipeline for predicting live birth success in IVF using feature optimization and transformer-based models — Arezoo Borji, Hossam Haick, Birgit Pohn et al. Computer Methods and Programs in Biomedicine, 2025, unknown, 10 citations · DOI: 10.1016/j.cmpb.2025.108979
  12. Accurate machine learning model for human embryo morphokinetic stage detection — Hooman Misaghi, Lynsey M. Cree, Nicholas S. Knowlton Journal of Assisted Reproduction and Genetics, 2025, computational, 3 citations · DOI: 10.1007/s10815-025-03585-4
  13. Federated task-adaptive learning for personalized selection of human IVF-derived embryos — Tianrun Gao, Yuning Yang, Kai Wang et al. Communications Medicine, 2025, unknown, 2 citations · DOI: 10.1038/s43856-025-01182-1
  14. Artificial intelligence-empowered embryo selection for IVF applications — Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos et al. RUNG, 2025, unknown
  15. The Predictive Value of Sperm Mitochondrial DNA Copy Number on Male Infertility: A Systematic Review and Meta-Analysis — Aghnia Yuslicha Yuniar, Dwi Ari Pujianto Bioscientia Medicina Journal of Biomedicine and Translational Research, 2025, meta analysis · DOI: 10.37275/bsm.v9i8.1362
  16. Developmental potential of non- and mono-pronuclear zygotes and associated clinical outcomes in IVF cycles — Mengyi Zhu, Qiyin Dong, Yurong Zhu et al. Frontiers in Endocrinology, 2024, cohort, 7 citations · DOI: 10.3389/fendo.2024.1361734
  17. The Identification of Molecular Ploidy Status of Abnormal Pronuclear Zygotes Reveals a Significant Number of Euploid Blastocysts Available for Conception. — McCallie BR, Haywood ME, Henry LN et al. Biomedicines, 2024, cohort, 2 citations · DOI: 10.3390/biomedicines13010051
  18. Factors Associated with the Occurrence of 0PN Fertilization in in Vitro Fertilization and its Effects on Embryo Development and Reproductive Outcomes — Hongmin Guo, Xinhui Sun, Yueyue Jia et al. Clinical and Experimental Obstetrics & Gynecology, 2024, cohort, 2 citations · DOI: 10.31083/j.ceog5102032
  19. Comparative Analysis of Controlled Ovarian Hyperstimulation and Modified Natural Cycle Protocols on Gene Expression and Quality of Oocytes, Zygotes, and Embryos in Assisted Reproductive Technology (ART) — Sanja Dević Pavlić, Lara Saftić Martinović, Tina Sušanj Šepić et al. International Journal of Molecular Sciences, 2024, unknown, 1 citations · DOI: 10.3390/ijms252413287
  20. ESHRE good practice recommendations on recurrent implantation failure — ESHRE Working Group on Recurrent Implantation Failure, Danilo Cimadomo, María José de los Santos et al. Human Reproduction Open, 2023, guideline, 245 citations · DOI: 10.1093/hropen/hoad023
  21. Image Processing Approach for Grading IVF Blastocyst: A State-of-the-Art Review and Future Perspective of Deep Learning-Based Models — Iza Sazanita Isa, Umi Kalsom Yusof, Murizah Mohd Zain Applied Sciences, 2023, systematic review, 25 citations · DOI: 10.3390/app13021195
  22. O-209 The incidence of different ploidy alterations in abnormally fertilized oocytes (AFO)-derived embryos — Laura de Carvalho Girardi, Francesco Cogo, Paola Zambon et al. Human Reproduction, 2023, cohort, 2 citations · DOI: 10.1093/humrep/dead093.255
  23. Morphological and morphokinetic associations with aneuploidy: a systematic review and meta-analysis — Thomas Bamford, Amy Barrie, Sue Montgomery et al. Human Reproduction Update, 2022, systematic review, 97 citations · DOI: 10.1093/humupd/dmac022
  24. Pseudo contrastive labeling for predicting IVF embryo developmental potential — Itay Erlich, Assaf Ben‐Meir, Iris Har‐Vardi et al. Scientific Reports, 2022, unknown, 25 citations · DOI: 10.1038/s41598-022-06336-y
  25. Impact of sperm DNA fragmentation on the clinical outcome of assisted reproduction techniques: a systematic review of the last five years — Mayara Lobato Lourenço, Gabriel Acácio de Moura, Yasmim Mendes Rocha et al. JBRA, 2022, systematic review, 18 citations · DOI: 10.5935/1518-0557.20220057
  26. Does the cell number of 0PN embryos on day 3 affect pregnancy and neonatal outcomes following single blastocyst transfer? — Chen Chen, Wenzhi Li, Mingru Yin et al. BMC Pregnancy and Childbirth, 2022, cohort, 11 citations · DOI: 10.1186/s12884-022-04492-7
  27. Retrospective Evaluation Blastocyst Development by Artificial Intelligency University Hospital, Clermont-Ferrand, 2022, cohort
  28. Time Series Prediction of Viable Embryo and Automatic Grading in IVF using Deep Learning — Gargee Vaidya, Shreya Chandrasekhar, Ruchi Gajjar et al. The Open Biomedical Engineering Journal, 2021, computational, 10 citations · DOI: 10.2174/1874120702115010190
  29. Automated Sperm Selection Create Fertility Center, 2021, rct
  30. Impact of Prematuration Culture on Zygote Morphology in In Vitro Maturation: An Early Clue to Embryo Competence — Mir Jaffar, Arya Rajendran, Sumi Maria et al. International Journal of Infertility & Fetal Medicine, 2021, expert opinion · DOI: 10.5005/jp-journals-10016-1251
  31. Machine Learning Techniques to Improve the Success Rate in In-Vitro Fertilization (IVF) Procedure — Sujata N Patil, Shweta Madiwalar, V. M. Aparanji IOP Conference Series Materials Science and Engineering, 2020, unknown, 32 citations · DOI: 10.1088/1757-899x/925/1/012039
  32. Blastocysts derived from 0PN oocytes: Genetic and clinical results — María Valeria Paz, Mariel Chiera, Paula Hovanyecz et al. JBRA, 2020, cohort, 16 citations · DOI: 10.5935/1518-0557.20190084
  33. A SWOT Analysis of Human- and Machine Learning- Based Embryo Assessment — Huy Phuong Tran, Linh Nguyen-Hoang Tran, Huyen Thi Dang et al. IEEE Access, 2020, expert opinion, 12 citations · DOI: 10.1109/access.2020.3045772
  34. Embryos From "0PN" Zygotes May Be Most Likely 2PN Embryo in L-R-ICSI — Caixia Liu, Dong Han, Jianguo Chen et al. Research Square, 2020, case report · DOI: 10.21203/rs.3.rs-75535/v1
  35. Human oocytes and zygotes are ready for ultra-fast vitrification after 2 minutes of exposure to standard CPA solutions — Miguel Gallardo, Jaime Luis Saenz, Ramón Risco Scientific Reports, 2019, unknown, 66 citations · DOI: 10.1038/s41598-019-52014-x
  36. Embryos Arising from Apronuclear (0PN) and Unipronuclear (1PN) Have Similar Euploidy Rates with Those from 2PN and Should be Considered for Transfer — A Y X Lim, Colin Soon Soo Lee Fertility & Reproduction, 2019, cohort, 10 citations · DOI: 10.1142/s266131821930006x
  37. Effect of human male patient diagnosis on syngamy timing and blastulation using time-lapse technology — Cheyenne Steyn SUNScholar (Stellenbosch University), 2019, unknown
  38. Genome-wide haplotyping embryos developing from 0PN and 1PN zygotes increases transferrable embryos in PGT-M — Aspasia Destouni, Eftychia Dimitriadou, Heleen Masset et al. Human Reproduction, 2018, cohort, 69 citations · DOI: 10.1093/humrep/dey325
  39. ICSI Versus Conventional IVF in Non-male Factor Couples Mỹ Đức Hospital, 2018, rct
  40. Reassessing the feasibility of the zygote score for predicting embryo viability in IVF/ICSI using the GnRH antagonist protocol compared to the long protocol — Pin‐Yao Lin, Fu-Jen Huang, Fu‐Tsai Kung et al. PLoS ONE, 2017, cohort, 8 citations · DOI: 10.1371/journal.pone.0171465
  41. Assessment of human embryo development using morphological criteria in an era of time-lapse, algorithms and ‘OMICS’: is looking good still important? — David K. Gardner, Başak Balaban Molecular Human Reproduction, 2016, expert opinion, 234 citations · DOI: 10.1093/molehr/gaw057
  42. Developmental potential of clinically discarded human embryos and associated chromosomal analysis — Guidong Yao, Jiawei Xu, Zhimin Xin et al. Scientific Reports, 2016, cohort, 50 citations · DOI: 10.1038/srep23995
  43. Construction of CITIC Xiangya Assisted Reproduction Data Repository Reproductive & Genetic Hospital of CITIC-Xiangya, 2016, cohort
  44. Oocyte vitrification modifies nucleolar remodeling and zygote kinetics-a sibling study — Sandrine Chamayou, S. Romano, Carmelita Alecci et al. Journal of Assisted Reproduction and Genetics, 2015, cohort, 18 citations · DOI: 10.1007/s10815-015-0446-x
  45. Chromosome segregation and recombination in human meiosis : clinical applications and insight into disjunction errors — Christian Simon Ottolini Kent Academic Repository (University of Kent), 2015, unknown, 1 citations
  46. Is preimplantation genetic diagnosis the ideal embryo selection method in aneuploidy screening? — Levent Şahi̇n, Murat Bozkurt, Hilal Sahin et al. The Kaohsiung Journal of Medical Sciences, 2014, unknown, 11 citations · DOI: 10.1016/j.kjms.2014.05.008
  47. Study of histone variants and chromatin dynamics in the preimplantation mouse embryo — Ana Bošković HAL (Le Centre pour la Communication Scientifique Directe), 2014, animal
  48. Pronuclear morphology evaluation in in vitro fertilization (IVF) / intracytoplasmic sperm injection (ICSI) cycles: a retrospective clinical review — Alessia Nicoli, Francesco Capodanno, Ilaria Rondini et al. Journal of Ovarian Research, 2013, cohort, 53 citations · DOI: 10.1186/1757-2215-6-1
  49. Pronuclear morphology evaluation for fresh in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) cycles: a systematic review. — Nicoli A, Palomba S, Capodanno F et al. Journal of ovarian research, 2013, systematic review, 32 citations · DOI: 10.1186/1757-2215-6-64
  50. Time-lapse Monitoring of Early Embryo Development After Ovarian Stimulation During Infertility Treatment St. Olavs Hospital, 2013, rct
  51. The Role of Aneuploidy Screening in Human Preimplantation Embryos — S. Christian, K. Darren, R. Alan InTech eBooks, 2012, unknown, 1 citations · DOI: 10.5772/36199
  52. The evaluation of different embryo markers and their subsequent effect on embryo development, implantation and pregnancy outcome in an in-vitro fertilization program — Dirk Kotze SUNScholar (Stellenbosch University), 2012, unknown
  53. The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting — Alpha Scientists in Reproductive Medicine, ESHRE Special Interest Group of Embryology Human Reproduction, 2011, guideline, 2018 citations · DOI: 10.1093/humrep/der037
  54. Trophectoderm morphology: an important parameter for predicting live birth after single blastocyst transfer — Aisling Ahlström, C. Westin, E. Reismer et al. Human Reproduction, 2011, cohort, 283 citations · DOI: 10.1093/humrep/der325
  55. Severe teratozoospermia and its influence on pronuclear morphology, embryonic cleavage and compaction — Dara S. Berger, Faten F. AbdelHafez, Helena Russell et al. Reproductive Biology and Endocrinology, 2011, cohort, 29 citations · DOI: 10.1186/1477-7827-9-37
  56. Maternal Diet-Induced Obesity Alters Mitochondrial Activity and Redox Status in Mouse Oocytes and Zygotes — Natalia Igosheva, Andrey Y. Abramov, Lucilla Poston et al. PLoS ONE, 2010, animal, 467 citations · DOI: 10.1371/journal.pone.0010074
  57. Predictive factors in in vitro fertilization (IVF): a systematic review and meta-analysis — L.L. van Loendersloot, Madelon van Wely, Jacqueline Limpens et al. Human Reproduction Update, 2010, systematic review, 338 citations · DOI: 10.1093/humupd/dmq015
  58. Predictive value of oocyte morphology in human IVF: a systematic review of the literature — Laura Francesca Rienzi, Gábor Vajta, Filippo Maria Ubaldi Human Reproduction Update, 2010, systematic review, 312 citations · DOI: 10.1093/humupd/dmq029
  59. Evaluation of day one embryo quality and IVF outcome – a comparison of two scoring systems — Jana Brezinova, I Oborná, Magda Svobodová et al. Reproductive Biology and Endocrinology, 2009, cohort, 39 citations · DOI: 10.1186/1477-7827-7-9
  60. The predictive value of pronuclear morphology screening on embryodevelopment and pregnancy outcome in ART cycles — Mohammad Ali Khalili, Vida Razavi, Farahnaz Mardanian et al. TSpace (University of Toronto), 2008, case series, 6 citations
  61. Pronuclear scoring as a predictor of embryo quality in in vitro fertilization program. — Magdalena Depa-Martynów, Piotr Jędrzejczak, Leszek A. Pawelczyk PubMed, 2007, cohort, 36 citations · DOI: 10.5603/4494
  62. Morphologic parameters of early cleavage-stage embryos that correlate with fetal development and delivery: prospective and applied data for increased pregnancy rates — Lynette FitzGerald Scott, Alison Finn, Thomas O’Leary et al. Human Reproduction, 2006, cohort, 169 citations · DOI: 10.1093/humrep/del358
  63. Oocyte euploidy, pronuclear zygote morphology and embryo chromosomal complement — Luca Gianaroli, M. Cristina Magli, Anna Pia Ferraretti et al. Human Reproduction, 2006, cohort, 76 citations · DOI: 10.1093/humrep/del334
  64. Morphological scoring of human pronuclear zygotes for prediction of pregnancy outcome — Alfred Paul Senn, Françoise Urner, Alain Chanson et al. Human Reproduction, 2005, cohort, 62 citations · DOI: 10.1093/humrep/dei282
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