Oocyte and embryo evaluation by AI and multi-spectral auto-fluorescence imaging: Livestock embryology needs to catch-up to clinical practice
| Autor: | Avishkar Saini, Hanna J. McLennan, Jeremy G. Thompson, Kylie R. Dunning |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
animal structures
Livestock Embryonic Development Multi spectral Computational biology Biology Embryo Culture Techniques 03 medical and health sciences 0302 clinical medicine Food Animals medicine Animals Humans Small Animals Selection (genetic algorithm) 030304 developmental biology Mammals 0303 health sciences 030219 obstetrics & reproductive medicine Equine Optical Imaging Auto fluorescence Embryo Oocyte Embryo Mammalian Embryo transfer medicine.anatomical_structure Embryology embryonic structures Animal Science and Zoology Embryo quality |
| Zdroj: | Theriogenology. 150 |
| ISSN: | 1879-3231 |
| Popis: | A highly accurate ‘non-invasive quantitative embryo assessment for pregnancy’ (NQEAP) technique that determines embryo quality has been an elusive goal. If developed, NQEAP would transform the selection of embryos from both Multiple Ovulation and Embryo Transfer (MOET), and even more so, in vitro produced (IVP) embryos for livestock breeding. The area where this concept is already having impact is in the field of clinical embryology, where great strides have been taken in the application of morphokinetics and artificial intelligence (AI); while both are already in practice, rigorous and robust evidence of efficacy is still required. Even the translation of advances in the qualitative scoring of human IVF embryos have yet to be translated to the livestock IVP industry, which remains dependent on the MOET-standardised 3-point scoring system. Furthermore, there are new ways to interrogate the biochemistry of individual embryonic cells by using new, light-based methodologies, such as FLIM and hyperspectral microscopy. Combinations of these technologies, in particular combining new imaging systems with AI, will lead to very accurate NQEAP predictive tools, improving embryo selection and recipient pregnancy success. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect