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Rocha JC, Passalia FJ, Matos FD, et al. Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination. Sci Data. 2017;4:170192doi: 10.1038/sdata.2017.192.
Rocha, J. C., Passalia, F. J., Matos, F. D., Takahashi, M. B., Maserati, M. P., Alves, M. F., de Almeida, T. G., Cardoso, B. L., Basso, A. C., & Nogueira, M. F. G. (2017). Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination. Scientific data, 4170192. https://doi.org/10.1038/sdata.2017.192
Rocha, José Celso, et al. "Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination." Scientific data vol. 4 (2017): 170192. doi: https://doi.org/10.1038/sdata.2017.192
Rocha JC, Passalia FJ, Matos FD, Takahashi MB, Maserati MP, Alves MF, de Almeida TG, Cardoso BL, Basso AC, Nogueira MFG. Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination. Sci Data. 2017 Dec 19;4:170192. doi: 10.1038/sdata.2017.192. PMID: 29257125; PMCID: PMC5735923.
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Sci Data. 2017 Dec 19;4:170192. doi: 10.1038/sdata.2017.192.

Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination.

Scientific data

José Celso Rocha, Felipe José Passalia, Felipe Delestro Matos, Maria Beatriz Takahashi, Marc Peter Maserati, Mayra Fernanda Alves, Tamie Guibu de Almeida, Bruna Lopes Cardoso, Andrea Cristina Basso, Marcelo Fábio Gouveia Nogueira

Affiliations

  1. Universidade Estadual Paulista (Unesp), Faculdade de Ciências e Letras (FCL), Campus de Assis, Laboratório de Matemática Aplicada, Brazil.
  2. Institut de Biologie de l'École Normale Supérieure de Paris, Paris, France.
  3. In Vitro Brasil SA-Mogi Mirim, Brazil.
  4. Universidade Estadual Paulista (Unesp), FCL, Câmpus de Assis, Laboratório de Micromanipulação Embrionária, Brazil.

PMID: 29257125 PMCID: PMC5735923 DOI: 10.1038/sdata.2017.192

Abstract

There is currently no objective, real-time and non-invasive method for evaluating the quality of mammalian embryos. In this study, we processed images of in vitro produced bovine blastocysts to obtain a deeper comprehension of the embryonic morphological aspects that are related to the standard evaluation of blastocysts. Information was extracted from 482 digital images of blastocysts. The resulting imaging data were individually evaluated by three experienced embryologists who graded their quality. To avoid evaluation bias, each image was related to the modal value of the evaluations. Automated image processing produced 36 quantitative variables for each image. The images, the modal and individual quality grades, and the variables extracted could potentially be used in the development of artificial intelligence techniques (e.g., evolutionary algorithms and artificial neural networks), multivariate modelling and the study of defined structures of the whole blastocyst.

References

  1. Theriogenology. 2016 Apr 1;85(6):1147-51 - PubMed
  2. JBRA Assist Reprod. 2016 Aug 01;20(3):150-8 - PubMed
  3. Sci Rep. 2017 Aug 9;7(1):7659 - PubMed

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