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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Rocha, Jose Celso [1] ; Passalia, Felipe Jose [1] ; Matos, Felipe Delestro [2] ; Takahashi, Maria Beatriz [1] ; Maserati, Jr., Marc Peter [3] ; Alves, Mayra Fernanda [3] ; de Almeida, Tamie Guibu [3] ; Cardoso, Bruna Lopes [3] ; Basso, Andrea Cristina [3] ; Gouveia Nogueira, Marcelo Fabio [4]
Total Authors: 10
Affiliation:
[1] Univ Estadual Paulista, FCL, Lab Matemat Aplicada, UNESP, Campus Assis, Sao Paulo - Brazil
[2] Ecole Normale Super, Inst Biol, Paris - France
[3] In Vitro Brasil SA, Mogi Mirim - Brazil
[4] Univ Estadual Paulista, FCL, Lab Micromanipulacao Embrionaria, UNESP, Campus Assis, Sao Paulo - Brazil
Total Affiliations: 4
Document type: Journal article
Source: SCIENTIFIC DATA; v. 4, DEC 19 2017.
Web of Science Citations: 4
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. (AU)

FAPESP's process: 16/19004-4 - Hybrid software development (artificial neural network - Differential Evolution) applied to modelling and optimization of brewing process
Grantee:Maria Beatriz Takahashi
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 11/06179-7 - Use of Artificial Neural Network based system to evaluate viability and quality of mouse embryos
Grantee:Felipe Delestro Matos
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 06/06491-2 - Embryonic chimerism on murine and bovine species: Pattern of interaction between inner cell mass - from embryos produced in vivo - and recipient embryos produced in vitro
Grantee:Marcelo Fábio Gouveia Nogueira
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 13/05083-1 - Modulation of oocyte nuclear maturation and its effects on cumulus-oocyte complexes and bovine embryo production in vitro
Grantee:Marcelo Fábio Gouveia Nogueira
Support Opportunities: Regular Research Grants
FAPESP's process: 12/50533-2 - GIFT: genomic improvement of fertilization traits in Danish and Brazilian cattle
Grantee:Marcelo Fábio Gouveia Nogueira
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 12/20110-2 - Software based on Artificial Neural Networks for embryo morphologic evaluation
Grantee:Felipe Delestro Matos
Support Opportunities: Scholarships in Brazil - Master