The evaluation of blastocyst quality is of great significance for assisted reproductive technology (ART). Through quality assessment, blastocysts with the highest implantation potential can be selected, reducing the number of embryo transfers and improving the clinical pregnancy rate. However, there are many methods for blastocyst quality evaluation, but there is a lack of horizontal and systematic comparison. At present, the existing blastocyst quality evaluation methods mainly include morphological evaluation, metabolomics, time-lapse monitoring technology, genetic screening technology, artificial intelligence technology, etc. This paper systematically describes and compares the most effective and widely used methods for evaluating the quality of blastocysts at the blastocyst stage by summarizing the existing research systems and comprehensively discussing the advantages and limitations of various blastocyst quality evaluation technologies. Meanwhile, optimization schemes are proposed according to the limitations of various methods. It provides a theoretical basis and technical support for further optimizing the blastocyst quality evaluation technology, improving the clinical pregnancy rate and enhancing the efficiency of embryo selection.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |