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Fig 1.

Schematic illustration of experimental design.

Presumptive zygotes were cultured individually and embryonic development monitored with images captured by the Primo Vision TL system for a period of 7.5 days. At day 9.5 post IVF, blastocysts were classified according to their post-hatching development (V: Viable, NV: Non-viable).

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Fig 2.

Individual culture to monitor embryonic development (Primovision®, Vitrolife, Sweden).

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Table 1.

Production of bovine embryos in vitro in a time-lapse system and culture in drops (laboratory control).

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Table 2.

Characteristics of in vitro cultured blastocyst according to in vitro viability determined by extended culture up to 9.5 days post IVF.

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Table 3.

Characteristics of blastocyst cultured in vitro according to blastulation time.

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Fig 3.

Bovine embryonic development in microwell culture system according to viability (Viable “green line” and non-viable (red line).

A) Morphokinetic parameters of embryonic divisions t2, t3, t4, t5, t8, t9+, tM, tSB, tB and tBX; B) Time of cell cycle and synchrony t3-t2, t4-t3, t5-t4, t8-t5, t9+-t8, tM-t9+, tSB-ttM, tB-tSB, tBX-tB. (*) It indicates that in this morphokinetic parameter there is a statistical difference (P<0.05); Scatter plot illustrating two variables from the morphokinetics data, where colour represents in vitro viability, C) t2 (h) division time to 2 cells; D) Embryo diameter at tSB; and E) Embryo diameter at day 7.5 post IVF, with tSB (h) time of starting blastulation, respectively.

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Fig 4.

Pearson correlation coefficient and principal component analysis for all variables with in vitro viability.

A) Variables con Pearson’s correlation coefficient significative (p<0.01). PCA analysis of morphokinetics variables (B) and morphokinetics variables and embryo diameter after the start of blastulation (C) according to their in vitro viability (V = viable and N = non-viable).

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Table 4.

Non-invasive predictive models of in vitro viability using binary logistic regression.

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Table 5.

Logistic regression parameters of model-3 to predict viability in vitro.

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