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Use of time-lapse monitoring in medically assisted reproduction treatments: a mini-review

Published online by Cambridge University Press:  24 November 2020

Romualdo Sciorio*
Affiliation:
Edinburgh Assisted Conception Programme, EFREC, Royal Infirmary of Edinburgh, UK
*
Author for correspondence: Romualdo Sciorio. Edinburgh Assisted Conception Programme, EFREC, Royal Infirmary of Edinburgh, UK. E-mail: sciorioromualdo@hotmail.com
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Summary

During human in vitro culture, a morphological microscope analysis is normally performed to select the best embryo to transfer, with the hope of obtaining a successful pregnancy. The morphological evaluation may combine number and size of blastomeres, fragmentation, multinucleation, blastocyst expansion, inner-cell mass and trophectoderm appearance. However, standard microscopy evaluation involves the removal of the embryos from the incubator, exposing them to changes in pH, temperature, and oxygen level. Additionally, morphological assessments might include high inter-observer variability. Recently, continuous embryo culture using time-lapse monitoring (TLM) has allowed embryologists to analyse the dynamic and morphokinetic events of embryo development and, based on that, the embryologist is able to scrutinize the complete sequence of embryonic evolution, from fertilization to the blastocyst formation. Therefore, TLM allows an uninterrupted culture condition, reducing the need to remove embryos from the incubator. The monitoring system is normally composed of a standard incubator with an integrated microscope coupled to a digital camera, which is able to collect images at regular times, and subsequently processed into video. These data can be annotated and analyzed using an integrated software, therefore this allows embryologists to facilitate the process of embryo selection for transfer. The main aim of this paper is to discuss the potential benefits and uses of the TLM in the embryology laboratory.

Type
Review Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

Introduction

Medically assisted reproduction (MAR) has evolved considerably over the past 4 decades, with several key advances and historical achievements (Steptoe and Edwards, Reference Steptoe and Edwards1978). Over 8 million in vitro fertilization (IVF) children have been born since 1978 when the first IVF baby was announced (Thoma et al., Reference Thoma, McLain, Louis, King, Trumble, Sundaram and Buck2013). In recent years, the number of couple facing infertility issues has increased steadily, many of whom will ultimately need IVF treatments. Worldwide, approximately 2.5 million MAR cycles are performed, resulting in over 500,000 deliveries annually. In the UK, IVF babies account for about 3% of all babies born in 2016 (Human Fertilisation and Embryology Authority, 2018; De Geyter et al., Reference De Geyter, Calhaz-Jorge, Kupka, Wyns, Mocanu, Motrenko, Scaravelli, Smeenk, Vidakovic and Goossens2018). However, in vitro development of the human embryo is still suboptimal, and many good quality embryos fail to implant and generate a viable pregnancy (Zhao et al., Reference Zhao, Brezina, Hsu, Garcia, Brinsden and Wallach2011; Niederberger et al., Reference Niederberger, Pellicer, Cohen, Gardner, Palermo, O’Neill, Chow, Rosenwaks, Cobo, Swain, Schoolcraft and Frydman2018).The advent of more complex and physiological culture medium, had facilitated the generation of better quality embryos, and allows embryo transfer at the blastocyst stage.

Extending embryo culture enables the selection of embryos at a more advanced stage, and improves both uterine and embryonic synchronicity, therefore resulting in better pregnancy outcome rates (Gardner and Schoolcraft, Reference Gardner and Schoolcraft1999; De Vos et al., Reference De Vos, Van Landuyt, Santos-Ribeiro, Camus, Van de Velde, Tournaye and Verheyen2016). In addition, transfer of a single blastocyst avoids many adverse medical conditions for mother and baby associated with multiple pregnancies (Sullivan et al., Reference Sullivan, Wang, Hayward, Chambers, Illingworth, McBain and Norman2012). However, the embryologist’s ability to select the best embryo for transfer has not changed much since the birth of Louise Brown (Steptoe and Edwards, Reference Steptoe and Edwards1978).

From the beginnings of IVF, it was noted that the grade of embryo development was associated with successful pregnancy (Edwards et al., Reference Edwards, Fishel, Cohen, Fehilly, Purdy, Slater, Steptoe and Webster1984). To predict embryo developmental competence and implantation potential, embryos are traditionally selected for transfer based on morphological evaluation, which provides a snap-shot of embryo development. The characteristics investigated for cleavage stage embryos may include the number and size of blastomeres, fragmentation and multinucleation (De los Santos et al., Reference De los Santos, Apter, Coticchio, Debrock, Lundin, Plancha, Prados, Rienzi, Verheyen and Woodward2016). For blastocyst assessment, the most widely used grading is that originally proposed by Gardner and Schoolcraft (Reference Gardner and Schoolcraft1999). It is an alphanumeric system and, although does not cover all aspects of blastocyst morphology, has been very effective in classifying the appearance and compactness of the inner-cell mass, the cohesiveness of trophectoderm (TE) cells and degree of expansion of the blastocoels cavity (Gardner and Schoolcraft, Reference Gardner and Schoolcraft1999). However, morphological assessment has restricted the ability to predict implantation potential due to high inter-observer variability (Braude, Reference Braude2013).

Embryo development is a dynamic process in which the morphology changes significantly in a short time (Lemmen et al., Reference Lemmen, Agerholm and Ziebe2008). Although TLM was first reported by Lewis and Gregory (Reference Lewis and Gregory1929) and Payne and colleagues (Reference Payne, Flaherty, Barry and Matthews1997), it has been introduced only recently into the embryology laboratory and has allowed scientists to analyse the dynamic process and the whole sequence of embryo development from fertilization to blastocyst formation. The time-lapse system combines three components: an incubator, a microscope and a software program. The association of those elements provides continuous embryos monitoring (Meseguer et al., Reference Meseguer, Rubio, Cruz, Basile, Marcos and Requena2012; Basile et al., Reference Basile, Nogales, Bronet, Florensa, Riqueiros, Rodrigo, Garcia-Velasco and Meseguer2014; Aparicio-Ruiz et al., Reference Aparicio-Ruiz, Basile, Perez, Bronet, Remohi and Meseguer2016) and, in parallel, maintains a stable and uninterrupted culture environment, which avoids the need to move embryos outside the incubator, exposing them to non-physiological conditions including fluctuating temperatures, humidity, pH and gas concentrations (Zhang et al., Reference Zhang, Li, Peng, Guo, Heng and Tong2010). Wong and collaborators (Reference Wong, Loewke, Bossert, Behr, De Jonge, Baer and Reijo Pera2010) found that development of human embryos to the blastocyst stage was linked to key timing events in the early embryo division such as the duration of the first cleavage, and the length of the interval between the second and third divisions.

In 2011, Meseguer and co-workers reported that embryo implantation was associated with specific cell division timing parameters, introducing the term ‘morphokinetics’ (Meseguer et al., Reference Meseguer, Herrero, Tejera, Hilligsoe, Ramsing and Remohi2011). This review paper is not intended to provide scientific evidence of TLM, which has been recently investigated by Armstrong and colleagues (Reference Armstrong, Bhide, Jordan, Pacey, Marjoribanks and Farquhar2019), the main objective will be to illustrate the different available TLM systems and to divulge and evaluate the potential benefits of the TLM in the embryology laboratory in order to advise IVF clinics to select the most suitable system appropriate to their circumstances.

Present status of time-lapse monitoring

Morphology has been the method of embryo assessment for over 40 years and represents the main approach for embryo selection during MAR cycles. However, the standard evaluation at specific time points has limitations, mainly associated with the subjectivity of the embryologist, and the missing critical events potentially harmful to the embryo’s viability. Morphological assessment provides only a snap-shot of embryo development in that specific time, thereby omitting what happens during the intervals between the two observations (Cruz et al., Reference Cruz, Garrido, Herrero, Perez-Cano, Munoz and Meseguer2012). Furthermore, the embryo grade may change notably within a short amount of time (Wong et al., Reference Wong, Loewke, Bossert, Behr, De Jonge, Baer and Reijo Pera2010; Meseguer et al., Reference Meseguer, Herrero, Tejera, Hilligsoe, Ramsing and Remohi2011). In contrast, the TLM allows the embryologist not only to analyze embryo morphology and dynamic changes during the in vitro embryo development, but also provides stable culture conditions (Wong et al., Reference Wong, Loewke, Bossert, Behr, De Jonge, Baer and Reijo Pera2010; Meseguer et al., Reference Meseguer, Rubio, Cruz, Basile, Marcos and Requena2012; Basile et al., Reference Basile, Nogales, Bronet, Florensa, Riqueiros, Rodrigo, Garcia-Velasco and Meseguer2014; Aparicio-Ruiz et al., Reference Aparicio-Ruiz, Basile, Perez, Bronet, Remohi and Meseguer2016).

Although pioneering research on TLM has been reported since 1929 and in the late 1990s (Lewis and Gregory, Reference Lewis and Gregory1929; Payne et al., Reference Payne, Flaherty, Barry and Matthews1997), the technology became commercially available for embryology laboratory only in 2009. The large numbers of published articles on the use of TLM in human embryology suggest an active application of this novel technology in embryology laboratories worldwide. However, at this time, very few data are available on the global use of TLM. Scotland is a unique country, as the government had provided funding to permit all public assisted conception units (NHS-Scotland, National Health Service https://www.scot.nhs.uk) within the state to invest in TLM. In addition to this specific case, few papers are available reporting the worldwide use and implementation of the TLM in MAR treatments. One paper was published by Dolinko and colleagues (Reference Dolinko, Farland, Kaser, Missmer and Racowsky2017), and showed the results of a survey of 294 IVF units in the USA.

The authors reported that only 162 units responded, with 35 laboratories announcing that they used at least one time-lapse system. An analogous report have been published by a French team, Boueilh and co-workers (Reference Boueilh, Reignier, Barrière and Fréour2018). Amongst the 78 respondents, 30 centres reported using TLM clinically. Although these surveys provide interesting information on TLM use in two different countries, it is not enough to make a conclusion of the worldwide use of this technology. It would be really interesting to obtain a global picture of the time-lapse approach to evaluate its current use in IVF practice.

Time-lapse monitoring and embryo assessment: from fertilization to blastocyst formation

The identification of the embryo with the best implantation potential and high viability to generate a successful pregnancy remains an elusive goal in MAR cycles. Here, in this paragraph, we will investigate whether the use of TLM and morphokinetic embryo assessment might help in achieving this goal. Time-lapse observations have been used to define new or poorly described concepts of human embryology such as the fertilization process (Coticchio et al., Reference Coticchio, Mignini Renzini, Novara, Lain, De Ponti, Turchi, Fadini and Dal Canto2018), the duration of the first three cell cycles (Wong et al., Reference Wong, Loewke, Bossert, Behr, De Jonge, Baer and Reijo Pera2010, Meseguer et al., Reference Meseguer, Herrero, Tejera, Hilligsoe, Ramsing and Remohi2011), the early compaction stage (Iwata et al., Reference Iwata, Yumoto, Sugishima, Mizoguchi, Kai, Iba and Mio2014) and finally blastocyst formation (Marcos et al., Reference Marcos, Perez-Albala, Mifsud, Molla, Landeras and Meseguer2015, Sciorio et al., Reference Sciorio, Herrer Saura, Thong, Esbert Algam, Pickering and Meseguer2020a, Reference Sciorio, Thong and Pickering2020b).

Recently, Coticchio and collaborators thoroughly investigated the fertilization event and illustrated several unknown characteristics including the cytoplasmic halo (appearance and disappearance), pronuclei (PN) fading, time from PN fading (tPNf) and the first cleavage, and those novel features were used to predict embryo quality on day-3 (Coticchio et al., Reference Coticchio, Mignini Renzini, Novara, Lain, De Ponti, Turchi, Fadini and Dal Canto2018). Another prospective study analyzed the correlation between tPNf and live birth in 159 embryos. The pronuclei morphology of 46 embryos that resulted in live birth was compared with that of 113 embryos that resulted in no live birth. The results reported that, in comparison with embryos resulting in no live birth, tPNf occurred significantly later in embryos resulting in live birth and never earlier than 20 h 45 min (Azzarello et al., Reference Azzarello, Hoest and Mikkelsen2012). A further study noted that erratic PN movement within the cytoplasm and delayed pronuclei fading were indicative of compromised embryo development (Athayde Wirka et al., Reference Athayde Wirka, Chen, Conaghan, Ivani, Gvakharia, Behr, Suraj, Tan and Shen2014). The authors in this retrospective multicentre trial identified four atypical phenotypes, including abnormal syngamy, abnormal first cytokinesis, abnormal cleavage and chaotic cleavage, and correlated their relationship with embryo viability and implantation potential. The conclusion was that embryos exhibiting atypical phenotypes showed a significantly lower developmental potential compared with the control group (Athayde Wirka et al., Reference Athayde Wirka, Chen, Conaghan, Ivani, Gvakharia, Behr, Suraj, Tan and Shen2014). Wong and co-workers (Reference Wong, Loewke, Bossert, Behr, De Jonge, Baer and Reijo Pera2010) suggested that blastocyst stage could be predicted with high sensitivity by the timing of the early developmental stage: including the first cytokinesis (0–33 min), the time interval between the end of the first mitosis and the initiation of the second, which is the duration of 2-cell stage (7.8–14.3 h), and the time interval between the second and third mitoses (0–5.8 h duration of the 3-cell stage).

Lemmen and colleagues established that embryos resulting in successful pregnancies displayed not only a significantly higher cleavage synchrony but also a higher synchrony in nuclear appearance at the 2-cell stage compared with non-implanting embryos (Lemmen et al., Reference Lemmen, Agerholm and Ziebe2008). Using morphokinetics assessment it has been possible to demonstrate associations between various cleavage stage events and the embryo’s ability to reach the blastocyst stage (Wong et al., Reference Wong, Loewke, Bossert, Behr, De Jonge, Baer and Reijo Pera2010; Cruz et al., Reference Cruz, Garrido, Herrero, Perez-Cano, Munoz and Meseguer2012).

Meseguer and collaborators analyzed large data sets on transferred embryos generated by ICSI, and the results displayed that the timing of the cleavage to five cells was the most predictive parameter for embryo viability and implantation (Meseguer et al., Reference Meseguer, Herrero, Tejera, Hilligsoe, Ramsing and Remohi2011). Subsequently, the same group in a retrospective multicentre study performed in 10 IVF clinics compared pregnancy outcomes between time-lapse culture (n = 1390 cycles) and a standard incubator (n = 5915) and they reported a relative 20% improvement in pregnancy rates in the TLM (Meseguer et al., Reference Meseguer, Rubio, Cruz, Basile, Marcos and Requena2012). The authors associated the elevated clinical pregnancy obtained in the TLM group to a combination of both stable culture conditions and the use of morphokinetic parameters for embryo selection.

Similar results were confirmed by the same group in a prospective randomized controlled trial 2 years later (Rubio et al., Reference Rubio, Galan, Larreategui, Ayerdi, Bellver, Herrero and Meseguer2014). The introduction of more physiological culture conditions for in vitro human embryos, has resulted in the routine culture and transfer of embryos at the blastocyst stage (Gardner and Schoolcraft, Reference Gardner and Schoolcraft1999; De Vos et al., Reference De Vos, Van Landuyt, Santos-Ribeiro, Camus, Van de Velde, Tournaye and Verheyen2016). Within countries undertaking only single embryo transfer, an active reduction in the numbers of embryos being transferred has been witnessed.

Additionally, the transfer of a single blastocyst prevents many adverse medical conditions associated with multiple pregnancies (Sullivan et al, Reference Sullivan, Wang, Hayward, Chambers, Illingworth, McBain and Norman2012; De Vos et al., Reference De Vos, Van Landuyt, Santos-Ribeiro, Camus, Van de Velde, Tournaye and Verheyen2016). Furthermore, blastocyst transfer provides increased implantation rates compared with transfers at the cleavage stage, but this outcome needs to be correlated with the possible detrimental epigenetic effects associated with extended in vitro culture (Kirkegaard et al., Reference Kirkegaard, Agerholm and Ingerslev2012). In this context, TLM has been applied to predict blastocyst formation and implantation potential based on novel morphokinetic parameters noted at cleavage stage (Dal Canto et al., Reference Dal Canto, Coticchio, Mignini Renzini, De Ponti, Novara, Brambillasca, Comi and Fadini2012).

Kirkegaard and collaborators reported that cleavage from the 2- to 8-cell stages appears progressively earlier in embryos that will generate a blastocyst and will implant. The authors suggested that top quality blastocysts could be predicted within the first 2 days of in vitro culture by the short duration of the first cleavage, and duration of the 3-cell stage (Kirkegaard et al., Reference Kirkegaard, Kesmodel, Hindkjaer and Ingerslev2013). In the same way, Hashimoto and collaborators (Reference Hashimoto, Kato, Saeki and Morimoto2012) showed that better quality blastocysts presented significantly shorter times for synchrony between the 3- and 4-cell stages. Recently, Motato and colleagues (Reference Motato, de los Santos, Escriba, Ruiz, Remohi and Meseguer2016) analyzed the morphokinetic parameters in 7483 embryos and identified two features linked to blastocyst formation: the time of morula formation (81.28–96.0 h after ICSI), and the time of transition from 5- to 8-cell embryos (≤ 8.78 h). Finally, spontaneous blastocyst collapse during in vitro embryo development has been suggested as a novel marker of embryo viability and implantation potential. Retrospective studies have reported that blastocysts exhibiting collapse during development are less likely to implant and generate a pregnancy compared with embryos that do not (Marcos et al., Reference Marcos, Perez-Albala, Mifsud, Molla, Landeras and Meseguer2015, Sciorio et al., Reference Sciorio, Herrer Saura, Thong, Esbert Algam, Pickering and Meseguer2020a, Reference Sciorio, Thong and Pickering2020b). It has been reported that annotation of collapse(s) events may improve the embryo assessment at blastocyst stage. Summaries of the main atypical features identified with the TLM are given in Tables 1 and Table 2 including some recent papers published on the time-lapse technology.

Table 1. Atypical phenotypes observed with time-lapse monitoring

Table 2. Some studies published from 2010 that have used time-lapse technology

Correlation between TLM and embryos aneuploidy

Aneuploidy is the occurrence of the wrong number of chromosomes in a cell, for example 45 or 47 chromosomes instead of the normal 46. Aneuploidy is an important concern in in vitro human embryos obtained from MAR treatments: the transfer of aneuploid embryos may result in implantation failure, miscarriage or birth of an offspring with a range of potential abnormalities (Sciorio and Dattilo, Reference Sciorio and Dattilo2020).

The conventional procedure to investigate aneuploidy in human embryos is termed preimplantation genetic testing for aneuploidy (PGT-A), previously called preimplantation genetic screening (PGS), which consists in an IVF cycle in which embryos are biopsied and screened for chromosomal abnormalities prior to replacement into the uterus. The procedure was first introduced by Handyside (Handyside et al., Reference Handyside, Kontogianni, Hardy and Winston1990). However, PGT-A is an expensive technology and is not allowed in some countries, and there remains some debate regarding its cost–effectiveness, the invasiveness of the procedure and the clinical efficiency (Sermon et al., Reference Sermon, Capalbo, Cohen, Coonen, De Rycke, De Vos, Delhanty, Fiorentino, Gleicher and Griesinger2016; Sciorio and Dattilo, Reference Sciorio and Dattilo2020).

It has been hypothesized that TLM could be used to identify embryo aneuploidy, therefore providing a cheaper, faster and less invasive evaluation approach. Several studies have correlated morphokinetic parameters using TLM with the probability of selecting chromosomally normal embryos. It was supposed that cell division length has to be within an optimum range to overcome all the cellular processes preceding cytokinesis (Davies et al., Reference Davies, Christopikou, Tsorva, Karagianni, Handyside and Mastrominas2012; Campbell et al., Reference Campbell, Fishel, Bowman, Duffy, Sedler and Hickman2013a, Reference Campbell, Fishel, Bowman, Duffy, Sedler and Thornton2013b; Montag, Reference Montag2013; Swain, Reference Swain2013; Chawla et al., Reference Chawla, Fakih, Shunnar, Bayram, Hellani and Perumal2015).

Davies and co-workers (Reference Davies, Christopikou, Tsorva, Karagianni, Handyside and Mastrominas2012) found that aneuploidy embryos showed delays on the first two cleavages as well as prolonged transitions between 2- and the 4-cell stages. The author also noted that irregular divisions and an asynchronous PN disappearance were higher in abnormal embryos compared with the normal group. Chavez and colleagues (Reference Chavez, Loewke, Han, Moussavi, Colls, Munne, Behr and Reijo Pera2012) investigated the relationship between genetic status and morphokinetic parameters, and demonstrated that euploid embryos have definite timing at the first cell divisions up to the 4-cell stage.

Chawla and associates (Reference Chawla, Fakih, Shunnar, Bayram, Hellani and Perumal2015) assessed several morphokinetic features including timings of the extrusion of second polar body, pronuclei appearance and fading, time of first division, second and third cleavages duration in 460 embryos to discriminate abnormal embryos. The results showed that morphokinetic parameters differed significantly for euploid and aneuploidy embryos (Chawla et al., Reference Chawla, Fakih, Shunnar, Bayram, Hellani and Perumal2015). Campbell and collaborators using the TLM tried to develop a model to identify embryos aneuploidies. They found the time of early blastulation and the timing of full blastocyst formation were relevant features for embryo euploidy (Campbell et al., Reference Campbell, Fishel, Bowman, Duffy, Sedler and Hickman2013a, Reference Campbell, Fishel, Bowman, Duffy, Sedler and Thornton2013b).

Basile and colleagues investigated the differences in the time of cleavage between chromosomally normal and abnormal embryos to identify chromosomally normal embryos. The authors showed that normal and abnormal embryos had different kinetic behaviours and, based on that, they proposed an algorithm as a non-invasive tool to increase the likelihood of selecting genetically normal embryos (Basile et al., Reference Basile, Nogales, Bronet, Florensa, Riqueiros, Rodrigo, Garcia-Velasco and Meseguer2014). A comprehensive review on the value of TLM as a tool to identify and select euploid embryos has been published recently by Reignier and co-workers. They concluded that, despite several studies showing significant differences in morphokinetic parameters between euploid and aneuploid embryos, none of them found adequate evidence to recommend the clinical use of TLM in identifying embryo aneuploidies. Consequently, selection of embryos using time-lapse technology should not be considered as a replacement for PGT-A (Reignier et al., Reference Reignier, Lammers, Barrière and Fréour2018).

Different TLM systems

At present, there are several commercially available time-lapse systems. During the selection process of a TLM model, the clinic should take in consideration some practical aspects, including size and space of each system, the cost and the laboratory workload. Generally, all systems necessitate the use of a digital inverted microscope with a camera to collect embryo images at specific times. Some models contain an incubator equipped with a built-in camera, while other systems comprise a camera that is placed in a traditional large-box incubator (Kirkegaard et al., Reference Kirkegaard, Agerholm and Ingerslev2012; Chen et al., Reference Chen, Tan, Suraj, Pera and Shen2013; Campbell and Fishel, Reference Campbell and Fishel2015).

Although all TLM systems available at this time use an oil overlay on culture microdrops, there are differences in the way the embryos are cultured, and all systems need a specific culture dish, supplied by the manufacturer. Some models provide an individual culture set-up, in which the dish has a designed number of wells, each holding one embryo (Chen et al., Reference Chen, Tan, Suraj, Pera and Shen2013; Campbell and Fishel, Reference Campbell and Fishel2015; Racowsky et al., Reference Racowsky, Kovacs and Martins2015). However, some culture dishes permit sharing of culture medium between compartments and are designed for group culture, allowing exchange of soluble components. This may represent an important concern when deciding which specific model to purchase. However, each system uses a different light source and differs in the way the embryos are brought into the field of view, some without movement of the embryos versus others in which there is a constant movement of the culture dish. Few systems use bright field technology allowing the assessment of both kinetic parameters and embryo morphology.

Other models apply dark field technology supporting the determination of kinetic parameters, but give limited information on the morphological features. However, other aspects influencing a decision might include the nature of the computer software used for visualization and analysis, and the options for annotation, which may be manual or automated. Technical characteristics of some TLM systems available at this time are reported in Table 3.

Table 3. Comparisons of technical characteristics of some TLM systems at this time available

Time-lapse monitoring and its effect on embryo culture

Human embryo culture is associated with numerous physical and chemical stressors (Wale and Gardner, Reference Wale and Gardner2016), which might create a hostile environment for the preimplantation developing embryo. Embryo culture using TLM allows culture in a stable environment, avoiding the exposure of the embryo to the non-physiological conditions such as pH and temperature changes, or altered gases concentrations (CO2 and O2). The culture medium used represents an important factor for embryo culture.

Over the past few decades, we have noticed several improvements in the culture systems, mainly linked to medium composition. Two approaches have been suggested: the ‘sequential and the single-step’. The first is proposed to ensure that the physiological conditions of the human embryo are similar to that of the in vivo environment, when it would move from the oviduct to the uterus (Barnes et al., Reference Barnes, Crombie, Gardner, Kausche, Lacham-Kaplan, Suikkari, Tiglias, Wood and Trounson1995).

In contrast, the single-step medium is based on the concept that it is of benefit to supply all metabolic nutrients required, and that the embryo will use them according to its demand (Summers et al., Reference Summers, Bhatnagar, Lawitts and Biggers1995). Several studies have been performed in conventional incubators with the aim to establish which system is superior, but the results remain inconclusive (Sfontouris et al., Reference Sfontouris, Martins, Nastri, Viana, Navarro, Raine-Fenning, van der Poel, Rienzi and Racowsky2016; Werner et al., Reference Werner, Hong, Franasiak, Forman, Reda, Molinaro, Upham and Scott2016). The concern emerges of whether the use of TLM might find small parameters variations between sequential and single-step media.

One of the first studies to analyzing the dynamics of early development between embryos cultured in single and sequential medium using TLM was published by Ciray and associates. A randomized study was performed on 446 oocytes, which were divided between single and sequential medium produced by the same manufacturer and cultured in the same time-lapse incubator. The result found that in single-step medium, fading of PN and cleavage up to 5-cell stage took place significantly earlier compared with embryos cultured in sequential medium. In implanted embryos, t2 and t4 were significantly shorter with the single-step medium. However, the clinical outcome rates did not differ between the two groups (Ciray et al., Reference Ciray, Aksoy, Goktas, Ozturk and Bahceci2012). Similar findings were reported by Kazdar and collaborators (Reference Kazdar, Brugnon, Bouche, Jouve, Veau, Drapier, Rousseau, Pimentel, Viard and Belaud-Rotureau2017).

Conversely, other studies were not able to found any morphokinetic differences between the two approaches (Basile et al., Reference Basile, Morbeck, Garcia-Velasco, Bronet and Meseguer2013; Sfontouris et al., Reference Sfontouris, Kolibianakis, Lainas, Venetis, Petsas, Tarlatzis and Lainas2017). Therefore, current data have been unable to show a clear superiority of either single-step nor sequential medium in terms of clinical pregnancies adopting either with standard incubations or TLM. As mentioned previously, the use of TLM prevents embryo exposure to environmental conditions and thereby emulates in vivo conditions. It has been well reported that steady gas concentrations (for CO2 and O2) are extremely important for embryo development and viability (Sciorio and Smith, Reference Sciorio and Smith2019). It has been established that the oxygen concentration of the mammalian female reproductive tract is between 2 and 8% (Fischer and Bavister, Reference Fischer and Bavister1993).

Exposure of embryos to atmospheric oxygen concentrations is correlated with an increased production of reactive oxygen species, which might modify embryo metabolism and gene expression (Fischer and Bavister, Reference Fischer and Bavister1993; Rinaudo et al., Reference Rinaudo, Giritharan, Talbi, Dobson and Schultz2006; Wale and Gardner, Reference Wale and Gardner2012; Sciorio and Smith, Reference Sciorio and Smith2019). There is large amounts of evidence suggesting that embryo culture in 5%, rather than ambient, oxygen leads to improved pregnancy outcomes (Meintjes et al., Reference Meintjes, Chantilis, Douglas, Rodriguez, Guerami, Bookout, Barnett and Madden2009; Bontekoe et al., Reference Bontekoe, Mantikou, van Wely, Seshadri, Repping and Mastenbroek2012). A recent prospective randomized multicentre study performed on 1563 oocytes, confirmed that inclusion of antioxidants in the culture medium increased embryo viability, implantation and ongoing pregnancy rates significantly, possibly through the reduction of oxidative stress (Gardner et al., Reference Gardner, Kuramoto, Tanaka, Mitzumoto, Montag and Yoshida2020). The advantage of lower oxygen tension levels is included in the use of TLM.

Future research

Although TLM has been proposed since the 1929 (Lewis and Gregory, Reference Lewis and Gregory1929), the technology became commercially available only about a decade ago, therefore in comparison with other technical advancements made in cell biology, time-lapse might be considered in its childhood, and, as such, the technology applied could be further improved. Looking to the future, it will be expected that some developments correlated with image collection are likely to become available.

Development of fluorescence and confocal microscopy associated with the time-lapse and allowing the morphokinetic observation of organelles and chromosomes has already been proposed (Holubcova et al., Reference Holubcova, Blayney, Elder and Schuh2015; Patel et al., Reference Patel, Tan, Hartshorne and McAinsh2015), as well as fluorescence live-cell imaging of human embryos (Hashimoto et al., Reference Hashimoto, Nakano, Yamagata, Inoue, Morimoto and Nakaoka2016). Furthermore, one concern of TLM is the difficulty to assess and interpret the huge amount of data collected, which offers the opportunity for evolution of artificial intelligence (AI) and the use of higher-powered computers to analyze the considerable amount of images, and to identify a specific parameter that might correlate with embryo viability and pregnancy outcomes.

In that context, software programs are being used as automatic alternatives to standardize time-lapse annotations (Yeung et al., Reference Yeung, Downing, Fei-Fei and Milstein2018). Unlike other medical fields, ART has not yet explored the advantages of AI for automated embryo evaluation and selection. It has been hypothesized that an AI approach trained through exposure to thousands of embryo images and videos would later permit identification and prediction of embryo quality without mediation. This might be beneficial to reduce human error and standardize the annotation, and will allow embryologists concentrate on different tasks.

A study was performed by Khosravi and colleagues that used AI and TLM and, by analyzing clinical data for 2182 embryos and about 50,000 images, they developed a model that was able to predict blastocyst quality with an AUC of >0.98 (Khosravi et al., Reference Khosravi, Kazemi, Zhan, Malmsten, Toschi, Zisimopoulos, Sigaras, Lavery, Cooper and Hickman2019). In another recent retrospective trial, a deep learning approach has been used to automatically annotate 10,638 embryo videos from eight different IVF units across four countries. The results showed that deep learning model was able to predict fetal heartbeat pregnancy from time-lapse videos with an AUC of 0.93 (Tran et al., Reference Tran, Cooke, Illingworth and Gardner2019). These are retrospective studies, and further trials, including prospective randomized controlled trials, are required to evaluate the clinical significance of AI in IVF. However these trials demonstrated that the deep learning model and AI have an high level of predictability of embryo viability and implantation (Khosravi et al., Reference Khosravi, Kazemi, Zhan, Malmsten, Toschi, Zisimopoulos, Sigaras, Lavery, Cooper and Hickman2019; Tran et al., Reference Tran, Cooke, Illingworth and Gardner2019). Of course, before the AI approach would be clinically used, it will be required to pass vigorous clinical validation process.

Conclusion

At this time, despite extensive advancement achieved in MAR worldwide, most IVF units still perform embryo selection based on standard morphological evaluation, which has several limitations. Novel objective criteria should be included in the selection process of embryos to be transferred in IVF cycles. In that context, the introduction of TLM provides new morphokinetic features during in vitro culture, allowing embryologists to obtain new insights into key stages of embryo development, and therefore improve the selection process. Detection of atypical embryo phenotypes has proven to be essential for the process of deselecting embryos with a poor prognosis for transfer, which might result in a negative pregnancy.

Based on current technology, continuous TLM might bring a safe and steady embryo culture environment, which has allowed embryologists to identify unknown or undetectable aspects of development, including direct cleavage into three cells, which negatively affects clinical pregnancy. Presumably, in the next decade with the further advancement of AI, TLM will develop into an established method for embryo selection, linked to a non-invasive analytical approaches. At this future stage, TLM will probably become essential for embryologists and might be routinely applied for human embryo culture in MAR treatments.

Conflict of Interest

No conflict of interest was reported by the author.

Funding

None.

Data Availability Statement

All data are included in the study.

Ethical Standards

Not applicable.

References

Aguilar, J, Motato, Y, Escriba, MJ, Ojeda, M, Munoz, E and Meseguer, M (2014). The human first cell cycle: impact on implantation. Reprod Biomed Online 28, 475–84.CrossRefGoogle ScholarPubMed
Aparicio-Ruiz, B, Basile, N, Perez, AS, Bronet, F, Remohi, J and Meseguer, M (2016). Automatic time-lapse instrument is superior to single point morphology observation for selecting viable embryos: retrospective study in oocyte donation. Fertil Steril 106, 1379–85.e10.CrossRefGoogle ScholarPubMed
Armstrong, S, Bhide, P, Jordan, V, Pacey, A, Marjoribanks, J and Farquhar, C (2019). Time-lapse systems for embryo incubation and assessment in assisted reproduction. Cochrane Database Syst Rev 5, CD011320.Google ScholarPubMed
Athayde Wirka, K, Chen, AA, Conaghan, J, Ivani, K, Gvakharia, M, Behr, B, Suraj, V, Tan, L and Shen, S (2014). Atypical embryo phenotypes identified by time-lapse microscopy: high prevalence and association with embryo development. Fertil Steril 101, 1637–48.e1631-e1635.CrossRefGoogle ScholarPubMed
Azzarello, A, Hoest, T and Mikkelsen, AL (2012). The impact of pronuclei morphology and dynamicity on live birth outcome after time-lapse culture. Hum Reprod 27, 2649–57.CrossRefGoogle ScholarPubMed
Barnes, FL, Crombie, A, Gardner, DK, Kausche, A, Lacham-Kaplan, O, Suikkari, AM, Tiglias, J, Wood, C and Trounson, AO (1995). Blastocyst development and birth after in-vitro maturation of human primary oocytes, intracytoplasmic sperm injection and assisted hatching. Hum Reprod 10, 3243–7.CrossRefGoogle ScholarPubMed
Barrie, A, Homburg, R, McDowell, G, Brown, J, Kingsland, C and Troup, S (2017). Examining the efficacy of six published time-lapse imaging embryo selection algorithms to predict implantation to demonstrate the need for the development of specific, in-house morphokinetic selection algorithms. Fertil Steril 107, 613–21.CrossRefGoogle ScholarPubMed
Basile, N, Nogales, MC, Bronet, F, Florensa, M, Riqueiros, M, Rodrigo, L, Garcia-Velasco, J and Meseguer, M (2014). Increasing the probability of selecting chromosomally normal embryos by time-lapse morphokinetics analysis. Fertil Steril 101, 699704.CrossRefGoogle ScholarPubMed
Basile, N, Morbeck, D, Garcia-Velasco, J, Bronet, F and Meseguer, M (2013). Type of culture media does not affect embryo kinetics: a time-lapse analysis of sibling oocytes. Hum Reprod 28, 634–41.CrossRefGoogle Scholar
Bontekoe, S, Mantikou, E, van Wely, M, Seshadri, S, Repping, S and Mastenbroek, S (2012). Low oxygen concentrations for embryo culture in assisted reproductive technologies. Cochrane Database Syst Rev 7, CD008950.Google Scholar
Boueilh, T, Reignier, A, Barrière, P and Fréour, T (2018). Time-lapse imaging systems in IVF laboratories: a French national survey. J Assist Reprod Genet 35, 2181–6.CrossRefGoogle ScholarPubMed
Braude, P (2013). Selecting the ‘best’ embryos: prospects for improvement. Reprod Biomed Online 27, 644–53.CrossRefGoogle ScholarPubMed
Campbell, A and Fishel, S (2015). Atlas of Time Lapse Embryology. CRC Press.CrossRefGoogle Scholar
Campbell, A, Fishel, S, Bowman, N, Duffy, S, Sedler, M and Hickman, CF (2013a). Modelling a risk classification of aneuploidy in human embryos using non-invasive morphokinetics. Reprod Biomed Online 26, 477–85.CrossRefGoogle ScholarPubMed
Campbell, A, Fishel, S, Bowman, N, Duffy, S, Sedler, M and Thornton, S (2013b). Retrospective analysis of outcomes after IVF using an aneuploidy risk model derived from time-lapse imaging without PGS. Reprod Biomed Online 27, 140–6.CrossRefGoogle ScholarPubMed
Chavez, SL, Loewke, KE, Han, J, Moussavi, F, Colls, P, Munne, S, Behr, B and Reijo Pera, RA (2012). Dynamic blastomere behaviour reflects human embryo ploidy by the four-cell stage. Nat Commun 3, 1251.CrossRefGoogle ScholarPubMed
Chawla, M, Fakih, M, Shunnar, A, Bayram, A, Hellani, A, Perumal, V, et al. (2015). Morphokinetic analysis of cleavage stage embryos and its relationship to aneuploidy in a retrospective time-lapse imaging study. J Assist Reprod Genet 32, 6975.CrossRefGoogle Scholar
Chen, AA, Tan, L, Suraj, V, Pera, RR and Shen, S (2013). Biomarkers identified with time-lapse imaging: discovery, validation, and practical application. Fertil Steril 99, 10351043.CrossRefGoogle ScholarPubMed
Ciray, HN, Aksoy, T, Goktas, C, Ozturk, B and Bahceci, M (2012). Time-lapse evaluation of human embryo development in single versus sequential culture media—a sibling oocyte study. J Assist Reprod Genet 29, 891900.CrossRefGoogle ScholarPubMed
Coticchio, G, Mignini Renzini, M, Novara, PV, Lain, M, De Ponti, E, Turchi, D, Fadini, R and Dal Canto, M (2018). Focused time-lapse analysis reveals novel aspects of human fertilization and suggests new parameters of embryo viability. Hum Reprod 2018; 33, 2331.CrossRefGoogle ScholarPubMed
Coticchio, G, Lagalla, C, Sturmey, R, Pennetta, F and Borini, A (2019). The enigmatic morula: mechanisms of development, cell fate determination, self-correction and implications for ART. Hum Reprod Update 25, 422–38.CrossRefGoogle ScholarPubMed
Cruz, M, Garrido, N, Herrero, J, Perez-Cano, I, Munoz, M and Meseguer, M (2012). Timing of cell division in human cleavage-stage embryos is linked with blastocyst formation and quality. Reprod Biomed Online 25, 371–81.CrossRefGoogle ScholarPubMed
Dal Canto, M, Coticchio, G, Mignini Renzini, M, De Ponti, E, Novara, PV, Brambillasca, F, Comi, R and Fadini, R (2012). Cleavage kinetics analysis of human embryos predicts development to blastocyst and implantation. Reprod Biomed Online 25, 474–80.CrossRefGoogle ScholarPubMed
Davies, S, Christopikou, D, Tsorva, E, Karagianni, A, Handyside, AH and Mastrominas, M (2012). Delayed cleavage division and a prolonged transition between 2- and 4-cell stages in embryos identified as aneuploidy at the 8-cell stage by array-CGH. Hum Reprod 27, ii84–6.Google Scholar
De Geyter, C, Calhaz-Jorge, C., Kupka, MS, Wyns, C, Mocanu, E, Motrenko, T, Scaravelli, G, Smeenk, J, Vidakovic, S and Goossens, V (2018). European IVF-monitoring Consortium (EIM) for the European Society of Human Reproduction and Embryology (ESHRE). ART in Europe, 2014: results generated from European registries by ESHRE: The European IVF- monitoring Consortium (EIM) for the European Society of Human Reproduction and Embryology (ESHRE). Hum Reprod 33, 1586–601.CrossRefGoogle Scholar
De los Santos, MJ, Apter, S, Coticchio, G, Debrock, S, Lundin, K, Plancha, CE, Prados, F, Rienzi, L, Verheyen, G. Woodward, B et al. (2016). Revised guidelines for good practice in IVF laboratories (2015). Hum Reprod 31, 685–6.Google Scholar
De Vos, A, Van Landuyt, L, Santos-Ribeiro, S, Camus, M, Van de Velde, H, Tournaye, H and Verheyen, G (2016). Cumulative live birth rates after fresh and vitrified cleavage-stage versus blastocyst-stage embryo transfer in the first treatment cycle. Hum Reprod 31, 2442–9.CrossRefGoogle ScholarPubMed
Desai, N, Ploskonka, S, Goodman, LR, Austin, C, Goldberg, J and Falcone, T (2014). Analysis of embryo morphokinetics, multinucleation and cleavage anomalies using continuous time-lapse monitoring in blastocyst transfer cycles. Reprod Biol Endocrinol 12, 54.CrossRefGoogle ScholarPubMed
Dolinko, AV, Farland, LV, Kaser, DJ, Missmer, SA and Racowsky, C (2017). National survey on use of time-lapse imaging systems in IVF laboratories. J Assist Reprod Genet 34, 1167–72.CrossRefGoogle ScholarPubMed
Edwards, RG, Fishel, SB, Cohen, J, Fehilly, CB, Purdy, JM, Slater, JM, Steptoe, PC and Webster, JM (1984). Factors influencing the success of in vitro fertilization for alleviating human infertility. J In Vitro Fert Embryo Transf 1, 323.CrossRefGoogle ScholarPubMed
Ezoe, K, Ohata, K, Morita, H, Ueno, S, Miki, T, Okimura, T, Uchiyama, K, Yabuuchi, A, Kobayashi, T, Montag, M et al. (2019). Prolonged blastomere movement induced by the delay of pronuclear fading and first cell division adversely affects pregnancy outcomes after fresh embryo transfer on day 2: a time-lapse study. Reprod Biomed Online 38, 659–68.CrossRefGoogle ScholarPubMed
Fischer, B and Bavister, BD (1993). Oxygen tension in the oviduct and uterus of rhesus monkeys, hamsters and rabbits. J Reprod Fertil 99, 673–9.CrossRefGoogle ScholarPubMed
Fréour, T, Dessolle, L, Lammers, J, Lattes, S and Barrière, P (2013). Comparison of embryo morphokinetics after in vitro fertilization-intracytoplasmic sperm injection in smoking and nonsmoking women. Fertil Steril 99, 1944–50.CrossRefGoogle ScholarPubMed
Gardner, DK and Schoolcraft, WB (1999). Culture and transfer of human blastocysts. Curr Opin Obstet Gynecol 11, 307–11.CrossRefGoogle ScholarPubMed
Gardner, DK, Kuramoto, T, Tanaka, M, Mitzumoto, S, Montag, M and Yoshida, A (2020). Prospective randomized multicentre comparison on sibling oocytes comparing G-Series media system with antioxidants versus standard G-Series media system. Reprod Biomed Online 5, 637–44.CrossRefGoogle Scholar
Handyside, AH, Kontogianni, EH, Hardy, K and Winston, RM (1990). Pregnancies from biopsied human preimplantation embryos sexed by Y-specific DNA amplification. Nature 344(6268), 768–70.CrossRefGoogle ScholarPubMed
Hashimoto, S, Kato, N, Saeki, K and Morimoto, Y (2012). Selection of high-potential embryos by culture in poly(dimethylsiloxane) microwells and time-lapse imaging. Fertil Steril 97, 332–7.CrossRefGoogle ScholarPubMed
Hashimoto, S, Nakano, T, Yamagata, K, Inoue, M, Morimoto, Y and Nakaoka, Y (2016). Multinucleation per se is not always sufficient as a marker of abnormality to decide against transferring human embryos. Fertil Steril 106, 133–9.CrossRefGoogle Scholar
Holubcova, Z, Blayney, M, Elder, K and Schuh, M (2015). Human oocytes. Errorprone chromosome-mediated spindle assembly favors chromosome segregation defects in human oocytes. Science 348, 1143–7.CrossRefGoogle Scholar
Human Fertilisation and Embryology Authority (2018). Fertility Treatment 2014–2016: Trends and Figures. https://www.hfea.gov. uk/media/2563/hfea-fertility-trends-and-figures-2017-v2.pdf (accessed 1 March 2018).Google Scholar
Kazdar, N, Brugnon, F, Bouche, C, Jouve, G, Veau, S, Drapier, H, Rousseau, C, Pimentel, C, Viard, P, Belaud-Rotureau, MA et al. (2017). Comparison of human embryomorphokinetic parameters in sequential or global culture media. Ann Biol Clin 75, 403–10.Google ScholarPubMed
Khosravi, P, Kazemi, E, Zhan, Q, Malmsten, JE, Toschi, M, Zisimopoulos, P, Sigaras, A, Lavery, S, Cooper, LAD, Hickman, C et al. (2019). Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. NPJ Digit Med 2, 21.CrossRefGoogle ScholarPubMed
Kirkegaard, K, Agerholm, IE and Ingerslev, HJ (2012). Time-lapse monitoring as a tool for clinical embryo assessment. Hum Reprod 27, 1277–85.CrossRefGoogle ScholarPubMed
Kirkegaard, K, Kesmodel, US, Hindkjaer, JJ and Ingerslev, HJ (2013). Time-lapse parameters as predictors of blastocyst development and pregnancy outcome in embryos from good prognosis patients: a prospective cohort study. Hum Reprod 28, 2643–51.CrossRefGoogle ScholarPubMed
Iwata, K, Yumoto, K, Sugishima, M, Mizoguchi, C, Kai, Y, Iba, Y and Mio, Y (2014). Analysis of compaction initiation in human embryos by using timelapse cinematography. J Assist Reprod Genet 31, 421–6.CrossRefGoogle Scholar
Lemmen, JG, Agerholm, I and Ziebe, S (2008). Kinetic markers of human embryo quality using time-lapse recordings of IVF/ICSI-fertilized oocytes. Reprod Biomed Online 17, 385–91.CrossRefGoogle ScholarPubMed
Lewis, WH and Gregory, PW (1929). Cinematographs of living developing rabbit-eggs. Science 69(1782), 226–9.CrossRefGoogle ScholarPubMed
Marcos, J, Perez-Albala, S, Mifsud, A, Molla, M, Landeras, J and Meseguer, M (2015). Collapse of blastocysts is strongly related to lower implantation success: a time-lapse study. Hum Reprod 30, 2501–8.CrossRefGoogle ScholarPubMed
Meintjes, M, Chantilis, SJ, Douglas, JD, Rodriguez, AJ, Guerami, AR, Bookout, DM, Barnett, BD and Madden, JD (2009). A controlled randomized trial evaluating the effect of lowered incubator oxygen tension on live births in a predominantly blastocyst transfer program. Hum Reprod 24, 300–7.CrossRefGoogle Scholar
Meseguer, M, Herrero, J, Tejera, A, Hilligsoe, KM, Ramsing, NB and Remohi, J (2011). The use of morphokinetics as a predictor of embryo implantation. Hum Reprod 26, 2658–71.CrossRefGoogle ScholarPubMed
Meseguer, M, Rubio, I, Cruz, M, Basile, N, Marcos, J and Requena, A (2012). Embryo incubation and selection in a time-lapse monitoring system improves pregnancy outcome compared with a standard incubator: a retrospective cohort study. Fertil Steril 98, 1481–9.CrossRefGoogle Scholar
Mio, Y and Maeda, K (2008). Time-lapse cinematography of dynamic changes occurring during in vitro development of human embryos. Am J Obstet Gynecol 199, 660.e1–5.CrossRefGoogle ScholarPubMed
Montag, M (2013). Morphokinetics and embryo aneuploidy: has time come or not yet? Reprod Biomed Online 26, 528–30.CrossRefGoogle ScholarPubMed
Motato, Y, de los Santos, MJ, Escriba, MJ, Ruiz, BA, Remohi, J and Meseguer, M (2016). Morphokinetic analysis and embryonic prediction for blastocyst formation through an integrated time-lapse system. Fertil Steril 105, 376–84.CrossRefGoogle ScholarPubMed
Munõz, M, Cruz, M, Humaidan, P, Garrido, N, Pérez-Cano, I and Meseguer, M (2013). The type of GnRH analogue used during controlled ovarian stimulation influences early embryo developmental kinetics: a time-lapse study. Eur J Obstet Gynecol Reprod 168, 167–72.CrossRefGoogle ScholarPubMed
Niederberger, C, Pellicer, A, Cohen, J, Gardner, DK, Palermo, GD, O’Neill, CL, Chow, S, Rosenwaks, Z, Cobo, A, Swain, JE, Schoolcraft, WB, Frydman, R et al. (2018). Forty years of IVF. Fertil Steril 110, 185324.CrossRefGoogle ScholarPubMed
Otsuki, J, Iwasaki, T, Tsuji, Y, Katada, Y, Sato, H, Tsutsumi, Y, Hatano, K, Furuhashi, K, Matsumoto, Y, Kokeguchi, S et al. (2017). Potential of zygotes to produce live births can be identified by the size of the male and female pronuclei just before their membranes break down. Reprod Med Biol 16, 200–5.CrossRefGoogle ScholarPubMed
Patel, J, Tan, SL, Hartshorne, GM and McAinsh, AD (2015). Unique geometry of sister kinetochores in human oocytes during meiosis I may explain maternal age-associated increases in chromosomal abnormalities. Biol Open 5, 178–84.CrossRefGoogle ScholarPubMed
Payne, D, Flaherty, SP, Barry, MF and Matthews, CD (1997). Preliminary observations on polar body extrusion and pronuclear formation in human oocytes using time-lapse video cinematography. Hum Reprod 12, 532–41.CrossRefGoogle ScholarPubMed
Racowsky, C, Kovacs, P and Martins, WP (2015). A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go? J Assist Reprod Genet 32, 1025–30.CrossRefGoogle ScholarPubMed
Reignier, A, Lammers, J, Barrière, P and Fréour, T (2018). Can time-lapse parameters predict embryo ploidy? A systematic review. Reprod Biomed Online 36, 380–7.CrossRefGoogle ScholarPubMed
Rinaudo, PF, Giritharan, G, Talbi, S, Dobson, AT and Schultz, RM (2006). Effects of oxygen tension on gene expression in preimplantation mouse embryos. Fertil Steril 86, 1252–65.CrossRefGoogle ScholarPubMed
Rubio, I, Kuhlmann, R, Agerholm, I, Kirk, J, Herrero, J, Escriba, MJ, Bellver, J and Meseguer, M (2012). Limited implantation success of direct-cleaved human zygotes: a time-lapse study. Fertil Steril 98, 1458–63.CrossRefGoogle ScholarPubMed
Rubio, I, Galan, A, Larreategui, Z, Ayerdi, F, Bellver, J, Herrero, J and Meseguer, M (2014). Clinical validation of embryo culture and selection by morphokinetic analysis: a randomized, controlled trial of the EmbryoScope. Fertil Steril 102, 1287–94.CrossRefGoogle ScholarPubMed
Sciorio, R and Dattilo, M (2020). PGT–A preimplantation genetic testing for aneuploidies and embryo selection in routine ART cycles: time to step back? Clin Genet 98, 107115.CrossRefGoogle ScholarPubMed
Sciorio, R and Smith, GD (2019). Embryo culture at a reduced oxygen concentration of 5%: a mini review. Zygote 27, 355–61.CrossRefGoogle Scholar
Sciorio, R, Herrer Saura, R, Thong, KJ, Esbert Algam, M, Pickering, SJ and Meseguer, M (2020a). Blastocyst collapse as an embryo marker of low implantation potential: a time-lapse multicentre study. Zygote 13, 19.CrossRefGoogle Scholar
Sciorio, R, Thong, KJ and Pickering, SJ (2020b). Spontaneous blastocyst collapse as an embryo marker of low pregnancy outcome: a time-lapse study. JBRA Assist Reprod 24, 3440.Google ScholarPubMed
Sermon, K, Capalbo, A, Cohen, J, Coonen, E, De Rycke, M, De Vos, A, Delhanty, J, Fiorentino, F, Gleicher, N, Griesinger, G et al. (2016). The why, the how and the when of PGS 2.0: current practices and expert opinions of fertility specialists, molecular biologists, and embryologists. Mol Hum Reprod 22, 845–57.CrossRefGoogle ScholarPubMed
Sfontouris, IA, Martins, WP, Nastri, CO, Viana, IG, Navarro, PA, Raine-Fenning, N, van der Poel, S, Rienzi, L and Racowsky, C (2016). Blastocyst culture using single versus sequential media in clinical IVF: a systematic review and meta-analysis of randomized controlled trials. J Assist Reprod Genet 33, 1261–72.CrossRefGoogle ScholarPubMed
Sfontouris, A I, Kolibianakis, ME, Lainas, GT, Venetis, CA, Petsas, GK, Tarlatzis, BC and Lainas, TG (2017). Blastocyst utilization rates after continuous culture in two commercial single-step media: a prospective randomized study with sibling oocytes J Assist Reprod Genet 34, 1377–83.CrossRefGoogle ScholarPubMed
Steptoe, PC and Edwards, RG (1978). Birth after the reimplantation of a human embryo. Lancet 2, 366.CrossRefGoogle ScholarPubMed
Sullivan, EA, Wang, YA, Hayward, I, Chambers, GM, Illingworth, P, McBain, J and Norman, RJ (2012). Single embryo transfer reduces the risk of perinatal mortality, a population study. Hum Reprod 27, 3609–15.CrossRefGoogle ScholarPubMed
Summers, MC, Bhatnagar, PR, Lawitts, JA and Biggers, JD (1995). Fertilization in vitro of mouse ova from inbred and outbred strains: complete preimplantation embryo development in glucose-supplemented KSOM. Biol Reprod 53, 431–7.CrossRefGoogle ScholarPubMed
Sundvall, L, Ingerslev, HJ, Breth Knudsen, U and Kirkegaard, K (2013). Inter-, intra-observer variability of time-lapse annotations. Hum Reprod 28, 3215–21.CrossRefGoogle ScholarPubMed
Swain, JE (2013). Could time-lapse embryo imaging reduce the need for biopsy and PGS? J Assist Reprod Genet 30, 1081–90.CrossRefGoogle ScholarPubMed
Thoma, ME, McLain, AC, Louis, JF, King, RB, Trumble, AC, Sundaram, R and Buck, LGM (2013). Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach. Fertil Steril 99, 1324–31.CrossRefGoogle Scholar
Tran, D, Cooke, S, Illingworth, PJ and Gardner, DK (2019). Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer. Hum Reprod 34, 1011–8.CrossRefGoogle ScholarPubMed
Wale, PL and Gardner, DK (2012). Oxygen regulates amino acid turnover and carbohydrate uptake during the preimplantation period of mouse embryo development. Biol Reprod 87, 21–8.CrossRefGoogle ScholarPubMed
Wale, PL and Gardner, DK (2016). The effects of chemical and physical factors on mammalian embryo culture and their importance for the practice of assisted human reproduction. Hum Reprod Update 22, 222.CrossRefGoogle ScholarPubMed
Werner, MD, Hong, KH, Franasiak, JM, Forman, EJ, Reda, CV, Molinaro, TA, Upham, KM and Scott, RT Jr (2016). Sequential versus Monophasic Media Impact Trial (SuMMIT): a paired randomized controlled trial comparing a sequential media system to a monophasic medium. Fertil Steril 105, 1215–21.CrossRefGoogle ScholarPubMed
Wong, CC, Loewke, KE, Bossert, NL, Behr, B, De Jonge, CJ, Baer, TM and Reijo Pera, RA (2010). Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage. Nat Biotechnol 28, 1115–21.CrossRefGoogle ScholarPubMed
Yeung, S, Downing, NL, Fei-Fei, L and Milstein, A (2018). Bedside computer vision — moving artificial intelligence from driver assistance to patient safety. N Engl J Med 378, 1271–3.CrossRefGoogle ScholarPubMed
Zhang, JQ, Li, XL, Peng, Y, Guo, X, Heng, BC and Tong, GQ (2010). Reduction in exposure of human embryos outside the incubator enhances embryo quality and blastulation rate. Reprod Biomed Online 20, 510–5.CrossRefGoogle ScholarPubMed
Zhao, Y, Brezina, P, Hsu, CC, Garcia, J, Brinsden, PR and Wallach, E (2011). In vitro fertilization: four decades of reflections and promises. Biochim Biophys Acta 1810, 843–52.CrossRefGoogle ScholarPubMed
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Table 1. Atypical phenotypes observed with time-lapse monitoring

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Table 2. Some studies published from 2010 that have used time-lapse technology

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Table 3. Comparisons of technical characteristics of some TLM systems at this time available